Agent Router
by Tim-Projekt · remote · no sign-in to list tools · v1.0.0 · published by GitHub user Tim-Projekt
Discover and call AI agents via MCP. Supports A2A agents and platform agents with async tasks.
26 tools: 20 change things and 6 only read.
Scanned Oct 21, 2026
- Deletes or cancels0Claude Code: deny
- Can't be undone0Claude Code: ask
- Changes things20Claude Code: ask: see these tools
- Only reads6Claude Code: allow: see these tools
No check matched anything in the tool definitions. No finding is not a safety guarantee. How the checks work.
claude mcp add --transport http agent-router https://agent-router.org/mcp-http/mcpTools
Open a tool for its reasons and full description. Descriptions are the publisher's own words, shown as they are.
26 tools
Changes things 20Claude Code: ask
a2a_call_agentCall any public A2A-compatible agent directly by its endpoint URL.No findings
Why it is in this group
- The name "a2a_call_agent" says "call": a word for a change.
Description, as the server wrote it Call any public A2A-compatible agent directly by its endpoint URL. Returns the agent's response immediately (synchronous — no task_id needed). Get agent_url values from discover_agents (look for ENDPOINT in results). Works with any agent on a2aregistry.org or any A2A JSON-RPC endpoint. Free, no login required. Args: agent_url: The A2A endpoint URL (from discover_agents ENDPOINT field). message: The message or task to send to the agent. context_id: Optional — pass the context_id from a prior response to continue a multi-turn conversation. timeout_seconds: Seconds to wait for a response (default 30, max 120).
campbuddyPlan complete camping trips based on destination, weather, experience level, group size, budget, and activities.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 Plan complete camping trips based on destination, weather, experience level, group size, budget, and activities. Generate packing lists, meal plans, safety checklists, itineraries, campsite recommendations, and emergency preparation. Expected Runtime: ~30s.
exploitagentAgent created via direct DB write Expected Runtime: ~30s.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 Agent created via direct DB write Expected Runtime: ~30s.
financial_agentfull financial agent Expected Runtime: ~60s.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 full financial agent Expected Runtime: ~60s.
firstprinciplesanalystDeconstructs complex tasks or problems using a first-principles approach.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 Deconstructs complex tasks or problems using a first-principles approach. Identifies fundamental components, dependencies, and leverage points, and generates atomic-level insights and strategic perspectives. Provides guidance and clarity without delivering ready-made solutions, supporting the Main Agent in understanding and structuring the problem. Expected Runtime: ~30s.
hpo_demo_echo_agentDemo agent that echoes back any text query it receives.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 Demo agent that echoes back any text query it receives. Useful for testing A2A webhook integrations. Expected Runtime: ~10s.
nexus_strategy_analystAutonomous strategic analysis framed in NEXUS's lens: competitive positioning, portfolio economics, and defensibility.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 Autonomous strategic analysis framed in NEXUS's lens: competitive positioning, portfolio economics, and defensibility. Returns structured, actionable strategy recommendations for business problems. Expected Runtime: ~20s.
reasoningdelegationhighThe high-effort reasoning agent is built for complex tasks that require deep, multi-step analysis and robust problem-solving.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 The high-effort reasoning agent is built for complex tasks that require deep, multi-step analysis and robust problem-solving. It thoroughly evaluates alternatives, connects multiple sources of information, and carefully reasons through uncertainty before producing an answer. This agent is suited for challenging planning, architecture design, and analytical tasks where accuracy and depth are critical. Expected Runtime: ~60s.
reasoningdelegationlowA low-effort reasoning agent designed to handle simple to moderate tasks by performing lightweight reflection and structured thinking.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 A low-effort reasoning agent designed to handle simple to moderate tasks by performing lightweight reflection and structured thinking. It provides quick, cost-efficient reasoning support when full deep analysis is not required. The agent can be called upon to clarify problems, outline steps, and make small to mid-level decisions with minimal computational overhead. Expected Runtime: ~45s.
reasoningdelegationmediumThe medium-effort reasoning agent is designed to handle moderate to complex tasks by applying structured, multi-step thinking and deeper analysis.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 The medium-effort reasoning agent is designed to handle moderate to complex tasks by applying structured, multi-step thinking and deeper analysis. It balances efficiency and depth, enabling reliable problem decomposition, evaluation of alternatives, and coherent decision-making. This agent is suitable for tasks that require thoughtful reasoning but do not justify maximum computational intensity. Expected Runtime: ~50s.
researchagentConducts thorough, iterative internet research on a given topic.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 Conducts thorough, iterative internet research on a given topic. Identifies key terms, subtopics, facts, studies, and current developments. Compares sources, validates information, and highlights uncertainties. Produces structured, high-quality insights and open questions to support the Main Agent’s understanding. Expected Runtime: ~60s.
russian_website_legal_auditorПроводит доказательный аудит сайтов по действующему законодательству РФ: сканирует публичные страницы, формы, cookies, документы, платежные сценарии и внешние сервисы, сверяет прим…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 Проводит доказательный аудит сайтов по действующему законодательству РФ: сканирует публичные страницы, формы, cookies, документы, платежные сценарии и внешние сервисы, сверяет применимые требования и возвращает отчет с рисками, источниками и готовым планом исправлений для Codex. Expected Runtime: ~180s.
sandboxcodingagentExecutes Python or JavaScript code in an isolated, stateless sandbox to validate, test, or solve tasks.No findings
Why it is in this group
- The description's first verb is "execute": a word for a change.
Description, as the server wrote it Executes Python or JavaScript code in an isolated, stateless sandbox to validate, test, or solve tasks. Produces concrete, structured outputs from actual code execution, systematically tests logic and clearly identifies what is achievable within sandbox constraints. Supports the Main Agent with verified results and actionable insights. Expected Runtime: ~45s.
silpo_home_restaurantCreates a complete home restaurant experience from the household fridge, guest count, cuisine, time and budget.No findings
Why it is in this group
- The description's first verb is "create": a word for a change.
Description, as the server wrote it Creates a complete home restaurant experience from the household fridge, guest count, cuisine, time and budget. Builds menus, identifies missing ingredients, prepares a transparent Silpo shopping handoff, generates a guest table passport with ingredients and allergens, and drafts a message for friends. Sponsored products are labelled and only shown when relevant. Expected Runtime: ~15s.
smart_fridge___nutritionTracks household food inventory, expiry risks and replenishment needs; considers user food restrictions and preferences; prepares transparent product recommendations, a draft Silpo…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 Tracks household food inventory, expiry risks and replenishment needs; considers user food restrictions and preferences; prepares transparent product recommendations, a draft Silpo basket and delivery options. Sponsored products are always labelled and shown only when genuinely suitable. Cart changes require explicit user approval. Expected Runtime: ~15s.
softwareengineeringexpertPerforms expert-level software engineering analysis to solve tasks using repository and code evidence as the primary source.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 Performs expert-level software engineering analysis to solve tasks using repository and code evidence as the primary source. Investigates architecture, dependencies, design patterns, and code quality to generate structured technical insights, trade-offs, and strategic recommendations. Supports the Main Agent with actionable engineering guidance without speculation. Can't execute code. Expected Runtime: ~50s.
stock_marketFundamental Analysis Expected Runtime: ~30s.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 Fundamental Analysis Expected Runtime: ~30s.
taskplannerGenerates structured, iterative execution plans from complex user requests or problems.No findings
Why it is in this group
- The description's first verb is "generate": a word for a change.
Description, as the server wrote it Generates structured, iterative execution plans from complex user requests or problems. Suggests task breakdowns, phase sequencing, and knowledge flow, but does not independently execute or delegate tasks to other agents. Supports the Main Agent in preparing actionable plans. Expected Runtime: ~30s.
testagentDelegates a task to the specialized agent: TestAgent Expected Runtime: ~30s.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 Delegates a task to the specialized agent: TestAgent Expected Runtime: ~30s.
Only reads 6Claude Code: allow
constructivecriticAnalyzes complex approaches and strategies by identifying strengths and weaknesses.No findings
Why it is in this group
- The description's first verb is "analyze": a word for reading.
Description, as the server wrote it Analyzes complex approaches and strategies by identifying strengths and weaknesses. Provides structured feedback with concrete suggestions for improvement and potential alternatives. Expected Runtime: ~30s.
discover_agentsFind agents to call — both platform agents and public A2A registry agents.No findings
Why it is in this group
- The description's first verb is "find": a word for reading.
Description, as the server wrote it Find agents to call — both platform agents and public A2A registry agents. Returns two types: • TYPE=platform — built-in agents, call via their MCP tool name (async, returns task_id → use wait_for_task) • TYPE=a2a_registry — public agents from a2aregistry.org, call via a2a_call_agent(agent_url=ENDPOINT, message='...') (sync, returns immediately) Registry agents are filtered by the registry's own is_healthy flag. Each result shows UPTIME and LATENCY from the registry's own reported metrics. Free. Args: query: Keywords to filter by capability (e.g. 'weather', 'web scraping', 'research'). Leave empty to browse top agents. limit: Max results to return (default 10, max 25).
get_skillFetch a ClawHub skill by slug — metadata plus optional SKILL.md body.No findings
Why it is in this group
- The name "get_skill" says "get": a word for reading.
Description, as the server wrote it Fetch a ClawHub skill by slug — metadata plus optional SKILL.md body. Use the slug from search_skills results (e.g. 'agent-browser-clawdbot'). The response includes version, stats, install command, and the SKILL.md content agents can follow to adopt the skill's behavior. Free to use — no API key required. Args: slug: ClawHub skill slug (lowercase, from search_skills). include_content: If true (default), include SKILL.md text. Set false for metadata only.
scientificresearchagentAnalyzes tasks, questions, or problems strictly from a scientific perspective.No findings
Why it is in this group
- The description's first verb is "analyze": a word for reading.
Description, as the server wrote it Analyzes tasks, questions, or problems strictly from a scientific perspective. Retrieves, synthesizes, and evaluates evidence from academic literature across relevant domains. Produces structured, expert-level insights while distinguishing established findings, emerging evidence, and uncertainties. Supports the Main Agent with scientifically rigorous reasoning and recommendations. Expected Runtime: ~60s.
search_skillsSemantically search the live ClawHub skills registry (clawhub.ai).No findings
Why it is in this group
- The name "search_skills" says "search": a word for reading.
Description, as the server wrote it Semantically search the live ClawHub skills registry (clawhub.ai). ClawHub hosts OpenClaw SKILL.md packages — behavior templates, tool integrations, and agent capabilities. Results include slug, author, summary, install hint, and canonical URL. Follow up with get_skill(slug) to read the full SKILL.md. Free to use — no API key required. Args: query: Natural language description of the capability you need (e.g. 'browser automation', 'send emails via gmail'). top_k: Number of results to return (default: 5, max: 10).
wait_for_taskWait for a platform agent task to complete and return its result.No findings
Why it is in this group
- The name "wait_for_task" says "wait": a word for reading.
Description, as the server wrote it Wait for a platform agent task to complete and return its result. Only needed when a platform agent tool returned STATUS=RUNNING with a task_id (i.e. the task was still running after the initial 50s inline wait). NOT needed when the tool already returned STATUS=COMPLETED or STATUS=FAILED. NOT needed for a2a_call_agent — that always returns directly. Args: task_id: The task UUID from a platform agent response with STATUS=RUNNING. max_wait_seconds: Max seconds to wait (default 45, max 300).
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 agent-router https://agent-router.org/mcp-http/mcpRun in a terminal.
Claude Code permissions
Allow the reads, ask before a change, deny the deletes. Paste into .claude/settings.json.
{
"permissions": {
"allow": [
"mcp__agent-router__wait_for_task",
"mcp__agent-router__discover_agents",
"mcp__agent-router__search_skills",
"mcp__agent-router__get_skill",
"mcp__agent-router__scientificresearchagent",
"mcp__agent-router__constructivecritic"
],
"ask": [
"mcp__agent-router__a2a_call_agent",
"mcp__agent-router__sandboxcodingagent",
"mcp__agent-router__softwareengineeringexpert",
"mcp__agent-router__testagent",
"mcp__agent-router__exploitagent",
"mcp__agent-router__taskplanner",
"mcp__agent-router__researchagent",
"mcp__agent-router__browsernavigationagent",
"mcp__agent-router__reasoningdelegationlow",
"mcp__agent-router__firstprinciplesanalyst",
"mcp__agent-router__reasoningdelegationmedium",
"mcp__agent-router__reasoningdelegationhigh",
"mcp__agent-router__campbuddy",
"mcp__agent-router__nexus_strategy_analyst",
"mcp__agent-router__financial_agent",
"mcp__agent-router__silpo_home_restaurant",
"mcp__agent-router__hpo_demo_echo_agent",
"mcp__agent-router__russian_website_legal_auditor",
"mcp__agent-router__smart_fridge___nutrition",
"mcp__agent-router__stock_market"
],
"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 agent-router. Review it before you use it.
