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Govparse Government Data Gateway

by govparse.io · remote · no sign-in to list tools · v1.0.0 · published by io.govparse

Pay-per-call US government data: carrier safety, visa sponsors, contracts, employer risk.

Changes · 40

82 tools: 40 change things and 42 only read.

Scanned Oct 21, 2026

13 checks matched something in the tool definitions. No finding is not a safety guarantee. How the checks work.

claude mcp add --transport http gateway https://api.govparse.io/mcp

Findings

Matches of fixed checks, with the text they matched.

13 warn
  • The input schema at properties.cursor.examples[0] contains a 52-character base64 string. It decodes to text: "{"d":"2026-06-03","k":"osha:319001234"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNi0wMyIsImsiOiJvc2hhOjMxOTAwMTIzNCJ9"

    What this check looks for
  • The input schema at properties.cursor.examples[0] contains a 63-character base64 string. It decodes to text: "{"d":"2026-02-14","k":"lca:I-200-26038-123456"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wMi0xNCIsImsiOiJsY2E6SS0yMDAtMjYwMzgtMTIzNDU2In0"

    What this check looks for
  • The input schema at properties.cursor.examples[0] contains a 43-character base64 string. It decodes to text: "{"d":"2026-06-30","k":"1046179"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNi0zMCIsImsiOiIxMDQ2MTc5In0"

    What this check looks for
  • The input schema at properties.cursor.examples[0] contains a 54-character base64 string. It decodes to text: "{"d":"2026-06-30","k":"1045810:1234567"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNi0zMCIsImsiOiIxMDQ1ODEwOjEyMzQ1NjcifQ"

    What this check looks for
  • The input schema at properties.cursor.examples[0] contains a 48-character base64 string. It decodes to text: "{"d":"2026-07-24","k":"NCT07724756"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNy0yNCIsImsiOiJOQ1QwNzcyNDc1NiJ9"

    What this check looks for
  • The input schema at properties.cursor.examples[0] contains a 44-character base64 string. It decodes to text: "{"d":"2026-06-30","k":"CONT_123"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNi0zMCIsImsiOiJDT05UXzEyMyJ9"

    What this check looks for
Show 7 more findings
  • The input schema at properties.cursor.examples[0] contains a 44-character base64 string. It decodes to text: "{"d":"2026-06-30","k":"loan:123"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNi0zMCIsImsiOiJsb2FuOjEyMyJ9"

    What this check looks for
  • The input schema at properties.cursor.examples[0] contains a 47-character base64 string. It decodes to text: "{"d":"2026-07-22","k":"ANDA076558"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNy0yMiIsImsiOiJBTkRBMDc2NTU4In0"

    What this check looks for
  • The input schema at properties.cursor.examples[0] contains a 43-character base64 string. It decodes to text: "{"d":"2026-07-10","k":"K254295"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNy0xMCIsImsiOiJLMjU0Mjk1In0"

    What this check looks for
  • The input schema at properties.cursor.examples[0] contains a 44-character base64 string. It decodes to text: "{"d":"2026-04-21","k":"3543b166"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNC0yMSIsImsiOiIzNTQzYjE2NiJ9"

    What this check looks for
  • The input schema at properties.cursor.examples[0] contains a 44-character base64 string. It decodes to text: "{"d":"2026-07-22","k":"f579625f"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNy0yMiIsImsiOiJmNTc5NjI1ZiJ9"

    What this check looks for
  • The input schema at properties.cursor.examples[0] contains a 44-character base64 string. It decodes to text: "{"d":"2026-07-01","k":"2c4b6fb9"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNy0wMSIsImsiOiIyYzRiNmZiOSJ9"

    What this check looks for
  • The input schema at properties.cursor.examples[0] contains a 50-character base64 string. It decodes to text: "{"d":"2026-07-24","k":"31-RC-391469"}".

    Matched text

    inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNy0yNCIsImsiOiIzMS1SQy0zOTE0NjkifQ"

    What this check looks for

Tools

Open a tool for its reasons and full description. Descriptions are the publisher's own words, shown as they are.

82 tools

Changes things 40Claude Code: ask
  • build_parseCompose a lead-generation Parse from what you sell and who you target.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Compose a lead-generation Parse from what you sell and who you target. Returns the signals/legs it watches, a plain-English restatement, a per-Parse narrative, a fit score, the expected new-leads-per-period rate, and a small free sample. This is the FREE preview of get_leads.
  • cms_timely_care_deltaWhich hospitals' emergency-department throughput is degrading period-over-period?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Which hospitals' emergency-department throughput is degrading period-over-period? Windows the CMS Timely & Effective Care snapshots to compute each hospital's latest-vs-prior change on a measure (default OP_18b median ED time; higher = worse). Filter by measure, state, facility_id, direction (worse | better | any), min_pct_change, min_delta, and min_sample. Returns latest_score, prior_score, delta, and pct_change — the founder's ED-staffing-pressure tell. CMS Care Compare public-domain records. [price: $0.05/row]
  • enrich_contactReveal the decision-maker at a target company (named person, title, work email, LinkedIn), third-party enriched.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Reveal the decision-maker at a target company (named person, title, work email, LinkedIn), third-party enriched. PAID: connect with your API key (a SaaS key spends 1 enrichment credit; a metered key is billed per reveal) or pay keyless via an x402 USDC payment. Never returns a government record; always source:enriched.
  • epa_feed_rcraWhat does the full RCRAInfo hazardous-waste handler roster look like, handler by handler?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    What does the full RCRAInfo hazardous-waste handler roster look like, handler by handler? Bulk feed over EPA RCRAInfo in handler-id order: facility, city, state, generator status, roles (LQG/SQG/VSQG/transporter/TSDF), and NAICS — a large-quantity generator or TSDF is an EHS-services / environmental-consulting target. Flat rows, cursor-paginated up to 1000/page, filterable by state, generator status, NAICS, or LQG/TSDF/transporter flags. A standing roster (no per-record registration date). [price: $0.05/row]
  • fda_approvals_drugsWhich companies just won an FDA drug approval or supplement?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Which companies just won an FDA drug approval or supplement? Search openFDA drug/drugsfda applications by sponsor company, application type (NDA/ANDA/BLA), route, marketing status, most-recent approval date (since), or original market-entry date (first_approval_after). Returns the applicant company (entity-resolved where possible), brand/ingredient/dosage, and approval dates — a day-one commercial/partnership target list for pharma sellers and CROs. openFDA public-domain records. [price: $0.05/row]
  • fda_clearances_devicesWhich companies just cleared or got FDA approval for a medical device?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Which companies just cleared or got FDA approval for a medical device? Search openFDA device 510(k) clearances and PMA premarket approvals by applicant company, pathway (510k/pma), FDA product code, advisory-committee specialty (e.g. Cardiovascular), applicant state, or decision date (since). Returns the applicant company (entity-resolved where possible), device name, product code, and decision date — a fresh target list for device and component sellers. openFDA public-domain records. [price: $0.05/row]
  • fda_feed_approvalsWhich drugs did the FDA just approve, and who is the sponsor?1 finding

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 47-character base64 string. It decodes to text: "{"d":"2026-07-22","k":"ANDA076558"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNy0yMiIsImsiOiJBTkRBMDc2NTU4In0"

      What this check looks for
    Description, as the server wrote it
    Which drugs did the FDA just approve, and who is the sponsor? Bulk feed over openFDA Drugs@FDA approvals, newest-first by approval date — a new approval or supplement is a commercial-launch moment. Cursor-paginated up to 1000/page, filterable by sponsor, submission type (ORIG/SUPPL), marketing status, or since. Rows carry the sponsor, application number/type, brand names, active ingredients, dosage/route, and marketing status. Observational public records, never a clinical recommendation. [price: $0.05/row]
  • fda_feed_clearancesWhich medical devices did the FDA just clear or approve, and who is the applicant?1 finding

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 43-character base64 string. It decodes to text: "{"d":"2026-07-10","k":"K254295"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNy0xMCIsImsiOiJLMjU0Mjk1In0"

      What this check looks for
    Description, as the server wrote it
    Which medical devices did the FDA just clear or approve, and who is the applicant? Bulk feed over openFDA 510(k) clearances and PMA approvals, newest-first by decision date — a new clearance is a device launch. Cursor-paginated up to 1000/page, filterable by applicant, state, product code, pathway (510k/pma), advisory committee, or since. Rows carry the applicant, device name, product code, advisory committee, pathway, and decision. Observational public records, never a recommendation. [price: $0.05/row]
  • fda_feed_warninglettersWhich firms just received an FDA Warning Letter — an open compliance-gap and remediation clock?1 finding

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 44-character base64 string. It decodes to text: "{"d":"2026-04-21","k":"3543b166"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNC0yMSIsImsiOiIzNTQzYjE2NiJ9"

      What this check looks for
    Description, as the server wrote it
    Which firms just received an FDA Warning Letter — an open compliance-gap and remediation clock? Bulk feed over the FDA Warning Letters index, newest-first by issue date: recipient firm, product area (drugs/devices/food/tobacco…), issuing office, alleged-violation subject, and the response / close-out clock. Flat rows, cursor-paginated up to 1000/page, filterable by product_area, subject, close-out state, or since. Observational records — an alleged violation, never an adjudication. [price: $0.05/row]
  • firmstanding_business360What do federal records show about this exact employer entity?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    What do federal records show about this exact employer entity? The business360 dossier by entity UUID (from /v1/companies/search or /v1/business360/lookup): canonical identity plus per-source sections — OFLC visa filings, WHD wage enforcement, OSHA inspections/violations, EPA ECHO compliance, FMCSA carriers, LEIE/SAM exclusions — with match tiers, confidence, and per-source vintages disclosed. Public records; NOT a consumer report, no FCRA use. [price: $0.25/call]
  • firmstanding_feed_distressWhich businesses carry public-record distress markers?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Which businesses carry public-record distress markers? One observational row per subject across ten tracked marker types — WARN notice, Form 5500 participant drop, final filing, or Schedule H asset decline, IRS auto-revocation, SEC NT / 8-K / going-concern filings, FMCSA authority revocation, active enforcement case — with per-marker counts, dates, and details. Ticker/CIK-mapped where identifier-verified, basis disclosed. Counts as filed, never a score. NOT a consumer report, no FCRA use. [price: $0.05/row]
  • firmstanding_feed_enforcementWhich employers were hit with new federal enforcement actions since a given date?1 finding

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 52-character base64 string. It decodes to text: "{"d":"2026-06-03","k":"osha:319001234"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNi0wMyIsImsiOiJvc2hhOjMxOTAwMTIzNCJ9"

      What this check looks for
    Description, as the server wrote it
    Which employers were hit with new federal enforcement actions since a given date? Bulk feed of OSHA inspections (violated standards, penalties, abatement dates), EPA ECHO formal enforcement actions (SNC/HPV flags, penalties), and DOL WHD concluded wage cases (back wages, statutes) — flat rows, cursor-paginated up to 1000/page, each resolved to the FirmStanding entity graph where a match exists, with tier and confidence disclosed. Public records; NOT a consumer report, no FCRA use. [price: $0.05/row]
  • firmstanding_screen_enforcementDoes this employer have federal enforcement history on file?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Does this employer have federal enforcement history on file? One-call WHD + OSHA + EPA screen by company name and state: attested records_found verdict with per-source counts, severity totals (WHD back wages and penalties, OSHA current violation penalties, EPA ECHO 5-year penalties and SNC/HPV flags), most-recent action dates, and the latest records — with match tiers and confidence disclosed. Public records, name/address-matched; NOT a consumer report, no FCRA use. [price: $0.1/call]
  • firmstanding_screen_exclusionsIs this company on a federal exclusion or debarment list?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Is this company on a federal exclusion or debarment list? One-call screen of HHS OIG LEIE and SAM.gov exclusions by normalized business name (state optional): attested records_found verdict, per-list hit and currently-active counts, and the matching records with exclusion type, agency, and dates — plus entity-linked hits with disclosed match confidence. Name-matched public records; NOT a consumer report, no FCRA-regulated use (employment/credit/tenancy). [price: $0.1/call]
  • firmstanding_stats_companiesHow big is the FirmStanding employer entity graph right now?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    How big is the FirmStanding employer entity graph right now? Headline aggregates: resolved employer entities and how many appear in 2+ federal sources, states covered, record links by source system (whd, osha, echo, oflc, fmcsa, leie, sam_exclusions), and raw records on file per dataset. [price: $0.001/call]
  • fmcsa_carrier_scoreWhat SaferGrade score do FMCSA safety records produce for this carrier, and which components drive it?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    What SaferGrade score do FMCSA safety records produce for this carrier, and which components drive it? Returns the 0-100 score with letter grade and confidence, plus the observed inputs: 24-month inspection and out-of-service totals, driver/vehicle OOS rates vs the national baseline, crash summary, and the FMCSA safety rating on file. [price: $0.05/call]
  • fmcsa_carrier_vetIs this carrier's paperwork in order before I tender a load?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Is this carrier's paperwork in order before I tender a load? One-call carrier vetting screen: FMCSA census record, operating-authority records and revocations, active insurance filings on file, SaferGrade score, and crash/out-of-service history vs the national baseline — everything a broker checks before onboarding, in a single response. [price: $0.05/call]
  • fmcsa_carrier360What does the complete FMCSA file show for this carrier, in one call?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    What does the complete FMCSA file show for this carrier, in one call? The carrier360 dossier by USDOT number: census identity, operating-authority records with status-change history and revocations, active + historical insurance filings, the safety rating and review on file, the SaferGrade score with its component breakdown, 24-month inspection/violation and crash summaries vs national OOS baselines, and a merged recent-events timeline of authority and insurance changes. [price: $0.25/call]
  • fmcsa_feed_carriersWhat does the full FMCSA carrier census look like, carrier by carrier, with authority and safety context attached?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    What does the full FMCSA carrier census look like, carrier by carrier, with authority and safety context attached? Bulk analytics feed in USDOT order: legal/DBA name, operating status, authority statuses on file, active insurance filings, safety rating, SaferGrade score, 24-month SMS inspection/out-of-service/crash summaries, fleet size, and address — flat rows, cursor-paginated up to 1000/page, filterable by state, minimum fleet size, or census add date. [price: $0.05/row]
  • fmcsa_stats_carriersHow big is the FMCSA carrier dataset right now?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    How big is the FMCSA carrier dataset right now? Headline aggregates: total and active registered carriers, how many have a SaferGrade score and the grade distribution, carriers with inspection/crash history, and the current national driver/vehicle out-of-service baseline rates. [price: $0.001/call]
  • gateway_healthIs the Govparse Agent Gateway up, and which product datasets does it front?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Is the Govparse Agent Gateway up, and which product datasets does it front? Returns a signed _meta attestation proving the payment-to-attestation pipeline end to end. [price: $0.001/call]
  • govcon_feed_awardsWhich companies just won federal money?1 finding

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 44-character base64 string. It decodes to text: "{"d":"2026-06-30","k":"CONT_123"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNi0zMCIsImsiOiJDT05UXzEyMyJ9"

      What this check looks for
    Description, as the server wrote it
    Which companies just won federal money? Bulk feed over USAspending prime awards (contracts + assistance), newest-first by action date — a funded-growth signal for the awardee. Flat rows, cursor-paginated up to 1000/page, filterable by NAICS, awarding agency, minimum amount, award kind, or since. Each row carries the awardee, agency, award amount (with a banded size bucket), NAICS, dates, and UEI. Observational public records as filed. [price: $0.05/row]
  • govcon_feed_subawardsWhich companies just received a federal subaward — and which are getting their FIRST one?1 finding

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 44-character base64 string. It decodes to text: "{"d":"2026-07-22","k":"f579625f"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNy0yMiIsImsiOiJmNTc5NjI1ZiJ9"

      What this check looks for
    Description, as the server wrote it
    Which companies just received a federal subaward — and which are getting their FIRST one? Bulk feed over USAspending subawards (the File F prime→sub cascade), newest-first by action date: sub-recipient, prime, agency, amount (banded), NAICS, and date. new_only isolates first-time subawardees (no prime award on record) — the new-to-govcon growth signal. Flat rows, cursor-paginated up to 1000/page, filterable by state, NAICS, agency, minimum amount, or since. Observational public records as filed. [price: $0.05/row]
  • govcon_opportunity_detailWhat are the full details of this federal opportunity?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    What are the full details of this federal opportunity? Complete record for one SAM.gov contract notice (by notice ID) or Grants.gov opportunity (by opportunity ID or number): solicitation number, type, set-aside, NAICS, place of performance, response deadline, award floor/ceiling, eligibility, description, and the official link. [price: $0.01/call]
  • govcon_stats_opportunitiesHow much open federal money is in the dataset right now?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    How much open federal money is in the dataset right now? Headline aggregates: active SAM.gov contract opportunities (and how many still have an open deadline), Grants.gov opportunities by status (posted vs forecasted), and USAspending award records on file with their total dollar amount. [price: $0.001/call]
  • nlrb_feed_petitionsWhich employers just drew a union representation petition?1 finding

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 50-character base64 string. It decodes to text: "{"d":"2026-07-24","k":"31-RC-391469"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNy0yNCIsImsiOiIzMS1SQy0zOTE0NjkifQ"

      What this check looks for
    Description, as the server wrote it
    Which employers just drew a union representation petition? Bulk feed over NLRB cases, newest-first by filing date, defaulting to representation petitions (R cases): employer, case type, region, filing date, and unit size — a labor-relations moment for PEOs, staffing, and labor counsel. category widens to ULP charges or all cases. Flat rows, cursor-paginated up to 1000/page, filterable by state, region, or union. Observational records AS FILED — a petition is a filing, never an adjudication. [price: $0.05/row]
  • ofac_screen_sanctionsIs this company on a U.S.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Is this company on a U.S. sanctions or export-control list? One-call screen of the Consolidated Screening List — OFAC SDN, BIS Entity/Denied-Persons/Unverified/Military-End-User, State DTC/ISN, Treasury SSI/CMIC/PLC/NS-MBS — by normalized name and every published AKA (optional list= filter). Returns an attested records_found verdict, per-list hit counts, and the matching listings with program, type, and addresses. A name match is a screening hit to adjudicate, not a determination. [price: $0.1/call]
  • oflc_feed_workforceWhich employers filed U.S.1 finding

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 63-character base64 string. It decodes to text: "{"d":"2026-02-14","k":"lca:I-200-26038-123456"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wMi0xNCIsImsiOiJsY2E6SS0yMDAtMjYwMzgtMTIzNDU2In0"

      What this check looks for
    Description, as the server wrote it
    Which employers filed U.S. work-visa cases — H-1B LCA, PERM, and the seasonal-labor programs H-2A, H-2B, and CW-1 — for what roles, wages, worksites, and how many seasonal workers over what period of need? Employer-level bulk feed over DOL OFLC disclosure files: one flat row per case decided since a date, cursor-paginated up to 1000/page, filterable by program, worksite state, SOC, or employer name. Rows add employer FEIN where filed, SEC CIK/ticker where public, and as_published_date. [price: $0.05/row]
  • oflc_sponsor_dossierWhat is this employer's full visa-sponsorship track record?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    What is this employer's full visa-sponsorship track record? One-call dossier from DOL OFLC filings: LCA and PERM case counts by fiscal year and status, certification vs denial breakdown, annualized offered-wage percentiles (p10-p90), top sponsored SOC occupations, and top worksite states. Accepts a slug (amazon-com-services-llc) or a raw employer name. [price: $0.1/call]
  • oflc_stats_sponsorsHow much visa-sponsorship data is on file?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    How much visa-sponsorship data is on file? Headline aggregates over DOL OFLC disclosure data: distinct sponsoring employers, LCA and PERM case totals with certified counts, and the fiscal years covered. [price: $0.001/call]
  • oflc_wages_prevailingWhat do employers actually offer for this occupation in this state?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    What do employers actually offer for this occupation in this state? Annualized wage percentiles (p10-p90) computed from LCA disclosure filings for an SOC code, optionally narrowed to a worksite state: offered wages, DOL prevailing wages, wage-level distribution, and sample size — the market-rate check behind salary negotiation and offer benchmarking. [price: $0.01/call]
  • partd_feed_prescribingWhich prescribers just entered a drug class this Medicare Part D year — e.g.No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Which prescribers just entered a drug class this Medicare Part D year — e.g. new GLP-1 prescribers in PY2024? Bulk feed over CMS Part D Prescribers by Provider and Drug, aggregated per NPI to a drug class and differenced PY2023 → PY2024: direction=new_entrant returns new-to-class prescribers, de_adopter those whose class volume fell. Flat rows, cursor-paginated up to 1000/page, by drug_class, specialty, and state. Observational public Part D records — never a clinical recommendation. [price: $0.05/row]
  • sba_feed_loansWhich small businesses were just approved for an SBA loan?1 finding

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 44-character base64 string. It decodes to text: "{"d":"2026-06-30","k":"loan:123"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNi0zMCIsImsiOiJsb2FuOjEyMyJ9"

      What this check looks for
    Description, as the server wrote it
    Which small businesses were just approved for an SBA loan? Bulk feed over SBA 7(a) & 504 FOIA loan approvals, newest-first by approval date — a business approved for a federal loan is funded to grow. Cursor-paginated up to 1000/page, filterable by borrower state, program (7A/504), NAICS, minimum amount, or since. Rows carry the borrower, city/state, program, approval amount (banded), lender/CDC, NAICS, and jobs supported. Observational public records as disclosed. [price: $0.05/row]
  • sec_feed_executivesWho are the current executives and directors of US public companies, as attested to the SEC?1 finding

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 54-character base64 string. It decodes to text: "{"d":"2026-06-30","k":"1045810:1234567"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNi0zMCIsImsiOiIxMDQ1ODEwOjEyMzQ1NjcifQ"

      What this check looks for
    Description, as the server wrote it
    Who are the current executives and directors of US public companies, as attested to the SEC? Bulk feed over Section 16 filings (Forms 3/4/5): one row per (issuer, person) with officer/director flags and free-text title from the pair's most recent filing, ticker/CIK joined. Newest-first, cursor-paginated up to 1000/page, filterable by role, ticker, title fragment, person state, issuer CIK, or since. The filed roster, not scraped bios. Observational public records, never an assessment. [price: $0.05/row]
  • sec_feed_insidersWhich public companies are insiders buying as a cluster right now?1 finding

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 43-character base64 string. It decodes to text: "{"d":"2026-06-30","k":"1046179"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNi0zMCIsImsiOiIxMDQ2MTc5In0"

      What this check looks for
    Description, as the server wrote it
    Which public companies are insiders buying as a cluster right now? Bulk feed over SEC Form 4 open-market BUY clusters — issuers where several distinct officers/directors/10%-owners bought in a trailing 30- or 90-day window. Flat rows newest-first by the cluster's most recent buy, cursor-paginated up to 1000/page, filterable by ticker, exchange, min insiders, min value, window, or since. Every issuer is a public company with ticker and CIK. Observational filings as filed, never advice. [price: $0.05/row]
  • sec_insiders_clustersWhere are corporate insiders buying or selling as a cluster?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Where are corporate insiders buying or selling as a cluster? Search SEC Form 4 clusters — issuers where several distinct officers/directors/10%-owners transacted the same direction in a trailing 30- or 90-day window (buy=accumulation, sell=distribution). Filter by ticker, direction, window, minimum insiders, minimum value, or exchange. Returns issuer ticker/company/exchange, insider count, and total shares/value. Public SEC filings as filed — observational, not advice. [price: $0.05/row]
  • sec_insiders_transactionsWhat did a company's insiders actually file?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    What did a company's insiders actually file? Search individual SEC Form 4 transaction lines by ticker, issuer CIK, insider name, direction (buy/sell/other), transaction code (P/S/A/M/F/G), role (officer/director/ten_percent), state, security type, minimum value, or date. Returns the insider, role, security, code, shares, price, and value per filing — the raw feed behind the cluster signal. Public SEC filings as filed — observational, not advice. [price: $0.05/row]
  • trials_feed_startsWhich companies just opened a new clinical trial or site?1 finding

    Why it is in this group

    • The name "trials_feed_starts" says "start": a word for a change.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 48-character base64 string. It decodes to text: "{"d":"2026-07-24","k":"NCT07724756"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNy0yNCIsImsiOiJOQ1QwNzcyNDc1NiJ9"

      What this check looks for
    Description, as the server wrote it
    Which companies just opened a new clinical trial or site? Bulk feed over NIH ClinicalTrials.gov interventional, industry-sponsored studies, newest-first by registry-posting date (the R&D / commercial-growth signal). Cursor-paginated up to 1000/page, filterable by sponsor, phase, status, condition, intervention type, site state, or since. Rows carry sponsor, phase, status, conditions, enrollment, dates, site count, and the US states sited. Observational registry records, never a prediction. [price: $0.05/row]
  • uspto_feed_grantsWhich companies are granting a cluster of patents?No findings

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.
    Description, as the server wrote it
    Which companies are granting a cluster of patents? Bulk feed over USPTO / PatentsView granted-patent assignees, ordered by grant count in the loaded window — an assignee with a cluster of grants is an R&D/growth signal. Cursor-paginated up to 1000/page, filterable by state, minimum grants, CPC subclass, first-time-assignee only, or since. Rows carry the assignee, grant count, CPC tech areas, grant window, inventor count, and a first_time_assignee flag. CC BY 4.0 attribution (in _meta.notice). [price: $0.05/row]
  • va_feed_sdvosbWhich veteran-owned (SDVOSB / VOSB) vendors just showed fresh federal traction?1 finding

    Why it is in this group

    • Nothing in its name or description says what it does, so it is counted as a write.

    Findings

    • Warn

      The input schema at properties.cursor.examples[0] contains a 44-character base64 string. It decodes to text: "{"d":"2026-07-01","k":"2c4b6fb9"}".

      Matched text

      inputSchema.properties.cursor.examples[0]: "eyJkIjoiMjAyNi0wNy0wMSIsImsiOiIyYzRiNmZiOSJ9"

      What this check looks for
    Description, as the server wrote it
    Which veteran-owned (SDVOSB / VOSB) vendors just showed fresh federal traction? Bulk feed over the verified veteran-owned vendor roster, newest-first by most recent award date: vendor, state, NAICS, certification, and its VA-specific + total federal award totals (banded). A set-aside-eligible vendor with recent traction is a teaming / growth target. Flat rows, cursor-paginated up to 1000/page, filterable by state, NAICS, certification, VA award, or since. Observational public records as filed. [price: $0.05/row]
Only reads 42Claude Code: allow
  • firmstanding_business360_lookupWhat do federal records show about this company, across every dataset at once?No findings

    Why it is in this group

    • The name "firmstanding_business360_lookup" says "lookup": a word for reading.
    Description, as the server wrote it
    What do federal records show about this company, across every dataset at once? Flagship employer dossier by name + state: canonical identity from the entity graph, plus per-source sections — OFLC visa filings, WHD wage enforcement (back wages), OSHA inspections/violations (penalties), EPA ECHO facilities, FMCSA carriers, LEIE/SAM exclusion hits — match tiers and confidence disclosed. Public records, name/address-matched; NOT a consumer report, no FCRA use. [price: $0.25/call]
  • fmcsa_carrier_lookupWhat does the FMCSA census record show for this USDOT number?No findings

    Why it is in this group

    • The name "fmcsa_carrier_lookup" says "lookup": a word for reading.
    Description, as the server wrote it
    What does the FMCSA census record show for this USDOT number? Legal/DBA name, entity type, MC number, address, phone, fleet size (power units, drivers), operating status, safety rating, and MCS-150 details for one motor carrier — the registration-of-record lookup behind 'who is this carrier?' [price: $0.01/call]
  • get_leadsGet the actual B2B leads for a Parse: the matching companies and the public-record events that flagged them (real rows, including any free native contacts on the source record).No findings

    Why it is in this group

    • The name "get_leads" says "get": a word for reading.
    Description, as the server wrote it
    Get the actual B2B leads for a Parse: the matching companies and the public-record events that flagged them (real rows, including any free native contacts on the source record). PAID, priced PER LEAD RETURNED — connect with your API key (metered key billed per lead, or a SaaS key covered by your plan's lead entitlement) or pay keyless with an x402 USDC payment on Base or Solana (prepaid for up to `limit` leads). Compose the Parse with build_parse first, then pass its `parse` here.
  • list_industriesDiscover ParseData's industries and their curated, ready-made Parses (each with a plain-language ELI12 explanation and an id you can pass to build_parse/get_leads).No findings

    Why it is in this group

    • The name "list_industries" says "list": a word for reading.
    Description, as the server wrote it
    Discover ParseData's industries and their curated, ready-made Parses (each with a plain-language ELI12 explanation and an id you can pass to build_parse/get_leads). FREE.

This is not a safety rating, and no finding is not a safety guarantee. The groups and findings come from fixed checks of the tool definitions the server returned on the date shown, not from its code or what it does when called. How the checks work.

Install

Pinned to version 1.0.0. Values in angle brackets are yours to fill in.

claude mcp add --transport http gateway https://api.govparse.io/mcp

Run in a terminal.

Claude Code permissions

Allow the reads, ask before a change, deny the deletes. Paste into .claude/settings.json.

.claude/settings.json
{
  "permissions": {
    "allow": [
      "mcp__gateway__fmcsa_carrier_lookup",
      "mcp__gateway__fmcsa_carrier_search",
      "mcp__gateway__oflc_sponsor_search",
      "mcp__gateway__govcon_opportunity_search",
      "mcp__gateway__govcon_award_search",
      "mcp__gateway__firmstanding_business360_lookup",
      "mcp__gateway__firmstanding_company_search",
      "mcp__gateway__partd_prescriber_search",
      "mcp__gateway__fda_recalls_search",
      "mcp__gateway__va_facilities_search",
      "mcp__gateway__va_vendors_search",
      "mcp__gateway__va_opportunities_search",
      "mcp__gateway__govcon_subaward_search",
      "mcp__gateway__trials_trials_search",
      "mcp__gateway__trials_sites_search",
      "mcp__gateway__fsis_establishments_search",
      "mcp__gateway__fsis_recalls_search",
      "mcp__gateway__uspto_patents_search",
      "mcp__gateway__uspto_assignees_search",
      "mcp__gateway__msha_mines_search",
      "mcp__gateway__msha_violations_search",
      "mcp__gateway__fda_warningletters_search",
      "mcp__gateway__epa_rcra_handlers_search",
      "mcp__gateway__epa_tri_search",
      "mcp__gateway__nlrb_cases_search",
      "mcp__gateway__ttb_permittees_search",
      "mcp__gateway__hrsa_hpsa_search",
      "mcp__gateway__hrsa_mua_search",
      "mcp__gateway__cms_timely_care_search",
      "mcp__gateway__hcris_cost_reports_search",
      "mcp__gateway__hcris_staffing_decline_search",
      "mcp__gateway__pecos_enrollments_search",
      "mcp__gateway__pecos_enrollment_exodus_search",
      "mcp__gateway__pecos_provider_exodus_search",
      "mcp__gateway__fcc_licenses_search",
      "mcp__gateway__faa_aircraft_search",
      "mcp__gateway__faa_deregistrations_search",
      "mcp__gateway__phmsa_operators_search",
      "mcp__gateway__phmsa_incidents_search",
      "mcp__gateway__sba_loans_search",
      "mcp__gateway__list_industries",
      "mcp__gateway__get_leads"
    ],
    "ask": [
      "mcp__gateway__gateway_health",
      "mcp__gateway__fmcsa_carrier_score",
      "mcp__gateway__fmcsa_carrier_vet",
      "mcp__gateway__fmcsa_carrier360",
      "mcp__gateway__fmcsa_stats_carriers",
      "mcp__gateway__oflc_sponsor_dossier",
      "mcp__gateway__oflc_wages_prevailing",
      "mcp__gateway__oflc_stats_sponsors",
      "mcp__gateway__govcon_opportunity_detail",
      "mcp__gateway__govcon_stats_opportunities",
      "mcp__gateway__firmstanding_business360",
      "mcp__gateway__firmstanding_screen_exclusions",
      "mcp__gateway__firmstanding_screen_enforcement",
      "mcp__gateway__firmstanding_stats_companies",
      "mcp__gateway__partd_feed_prescribing",
      "mcp__gateway__firmstanding_feed_enforcement",
      "mcp__gateway__oflc_feed_workforce",
      "mcp__gateway__fmcsa_feed_carriers",
      "mcp__gateway__firmstanding_feed_distress",
      "mcp__gateway__sec_feed_insiders",
      "mcp__gateway__sec_feed_executives",
      "mcp__gateway__trials_feed_starts",
      "mcp__gateway__govcon_feed_awards",
      "mcp__gateway__uspto_feed_grants",
      "mcp__gateway__sba_feed_loans",
      "mcp__gateway__fda_feed_approvals",
      "mcp__gateway__fda_feed_clearances",
      "mcp__gateway__fda_feed_warningletters",
      "mcp__gateway__govcon_feed_subawards",
      "mcp__gateway__va_feed_sdvosb",
      "mcp__gateway__epa_feed_rcra",
      "mcp__gateway__nlrb_feed_petitions",
      "mcp__gateway__fda_approvals_drugs",
      "mcp__gateway__fda_clearances_devices",
      "mcp__gateway__sec_insiders_clusters",
      "mcp__gateway__sec_insiders_transactions",
      "mcp__gateway__cms_timely_care_delta",
      "mcp__gateway__ofac_screen_sanctions",
      "mcp__gateway__build_parse",
      "mcp__gateway__enrich_contact"
    ],
    "deny": []
  }
}

Tools that only read are allowed, tools that change things ask first, tools that delete or cancel are denied. It assumes the server is installed as gateway. Review it before you use it.