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CounterScript - Drug Price Benchmarks

by agentlookups.ai · remote · no sign-in to list tools · v1.0.1 · published by ai.agentlookups

Free US drug-price benchmarks from federal data (CMS NADAC): a benchmark, not a price anyone owes.

Changes · 1

1 tool: 1 change things.

Scanned Oct 21, 2026

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

claude mcp add --transport http counterscript https://rx.agentlookups.ai/mcp

Findings

Matches of fixed checks, with the text they matched.

1 info
  • The description is 3,298 characters long, over the 2,000 this check looks for.

    Matched text

    description ends: "...y after a failed fetch. A source we have not fetched yet has no as_of or checked."

    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.

1 tool

Changes things 1Claude Code: ask
  • drug_priceLooks up what US pharmacies actually pay to acquire a drug (the CMS NADAC benchmark, per unit, with its date), a fair cash-price estimate range, FDA generic equivalents, and Medica…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.
    • The server marks it read-only (readOnlyHint: true), but an annotation never lowers a class.

    Findings

    • Info

      The description is 3,298 characters long, over the 2,000 this check looks for.

      Matched text

      description ends: "...y after a failed fetch. A source we have not fetched yet has no as_of or checked."

      What this check looks for
    Description, as the server wrote it
    Looks up what US pharmacies actually pay to acquire a drug (the CMS NADAC benchmark, per unit, with its date), a fair cash-price estimate range, FDA generic equivalents, and Medicare negotiated prices where they apply. The input is a drug name with optional strength and form. result_type is one of three values. match: one drug, with prices, provenance and honesty notes; a brand-name drug with no generic alternatives listed also carries generic_equivalence, a dated statement of what the FDA Orange Book shows for it. A brand-name match can also carry cms_generic_price, CMS's NADAC figure for the corresponding generic drug, with its effective date, a fair cash estimate where a fill quantity applies, and the generic's name when exactly one generic in the index has that price, strength and ingredient. A biologic that the FDA Purple Book lists biosimilars to also carries biosimilars (each with proprietary and proper names, interchangeable, marketing_status, file_month, and a NADAC price where one is indexed) and biosimilars_statement; a biosimilar carries reference_product, with the same kinds of fields and a statement. candidates: the query fits several drugs. Up to 12 are listed (generic drugs first, then alphabetical), each with its description and price hint. candidates_total gives how many drugs matched; when that is more than 12, message says the list was cut, and adding a strength or form narrows it. A query equal to one candidate's description returns that drug as a match. no_match: the index has no drug matching the query; this does not mean the drug lacks a fair price, since NADAC covers only drugs with enough pharmacy survey data. did_you_mean, where present, lists drug names to search next, and did_you_mean_basis gives the reason: spelling (names spelled like the query; for a trade name that is its only active ingredient plus more words, such as theophylline-sr, that ingredient) or same_ingredient (the index has no drug under the ingredient name in the query, and the names are priced brands whose only active ingredient in the FDA Orange Book is that ingredient; store brands of the ingredient may still be priced under their own names). Names that differ from the query by a letter or two appear only when the query is not recognized in the loaded FDA Orange Book or Purple Book names. These catalogs omit some drug names; a spelling hint is a search aid, not an equivalent medicine. Every result also carries freshness, one entry per source (nadac, orangebook, mfp, purplebook) giving as_of, the publisher's date on the file in use (for purplebook, which FDA dates by month, the first day of that month); checked, the date of our newest successful fetch of that source; expected, the publishing cadence (weekly, monthly or irregular); and stale, which is true when the NADAC file is more than 10 days old, the Orange Book file more than 45 days old or the month of the Purple Book file ended more than 60 days ago, or when our newest attempt to fetch that source failed (last_attempt_failed then gives that attempt's date, and the file in use is the newest good one we hold), and then statement says so in plain words. For mfp, whose updates are irregular, stale is true only after a failed fetch. A source we have not fetched yet has no as_of or checked.

    Annotations the server declares

    • destructiveHint: false
    • idempotentHint: true
    • openWorldHint: false
    • readOnlyHint: true
    • title: Look up a US drug's fair cash price

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 1.0.1. Values in angle brackets are yours to fill in.

claude mcp add --transport http counterscript https://rx.agentlookups.ai/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": [],
    "ask": [
      "mcp__counterscript__drug_price"
    ],
    "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 counterscript. Review it before you use it.