MCP server

Agent Router

io.github.Tim-Projekt/agent-router

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Discover and call AI agents via MCP. Supports A2A agents and platform agents with async tasks.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

26

Token cost

About 5,737 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http agent-router https://agent-router.org/mcp-http/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.agent-router]
url = "https://agent-router.org/mcp-http/mcp"

Gemini CLI

{"mcpServers":{"agent-router":{"httpUrl":"https://agent-router.org/mcp-http/mcp"}}}

Cursor

{"mcpServers":{"agent-router":{"url":"https://agent-router.org/mcp-http/mcp"}}}

VS Code

{"servers":{"agent-router":{"type":"http","url":"https://agent-router.org/mcp-http/mcp"}}}

Antigravity

agy mcp add agent-router https://agent-router.org/mcp-http/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"agent-router","server_url":"https://agent-router.org/mcp-http/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agent-router","server_url":"https://agent-router.org/mcp-http/mcp"}

Tools

• a2a_call_agent ~309 tokens
  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.
• browsernavigationagent ~221 tokens
  Performs goal-oriented web navigation to complete tasks using a browser tool. Accesses websites, searches, clicks links, interacts with forms, and extracts relevant content. Produces structured results based solely on navigated information and supports the Main Agent with verified web-based insights
• campbuddy ~395 tokens
  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.
• constructivecritic ~189 tokens
  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_agents ~281 tokens
  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(ag
• exploitagent ~110 tokens
  Agent created via direct DB write Expected Runtime: ~30s.
• financial_agent ~138 tokens
  full financial agent Expected Runtime: ~60s.
• firstprinciplesanalyst ~235 tokens
  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 A
• get_skill ~219 tokens
  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 us
• hpo_demo_echo_agent ~154 tokens
  Demo agent that echoes back any text query it receives. Useful for testing A2A webhook integrations. Expected Runtime: ~10s.
• nexus_strategy_analyst ~194 tokens
  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.
• reasoningdelegationhigh ~241 tokens
  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
• reasoningdelegationlow ~230 tokens
  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 mak
• reasoningdelegationmedium ~240 tokens
  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 suitab
• researchagent ~213 tokens
  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
• russian_website_legal_auditor ~206 tokens
  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: ~1
• sandboxcodingagent ~230 tokens
  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 veri
• scientificresearchagent ~245 tokens
  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.
• search_skills Sends messages · ~233 tokens
  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
• silpo_home_restaurant ~230 tokens
  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 frien
• smart_fridge___nutrition ~222 tokens
  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 change
• softwareengineeringexpert ~246 tokens
  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 M
• stock_market ~198 tokens
  Fundamental Analysis Expected Runtime: ~30s.
• taskplanner ~211 tokens
  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.
• testagent ~114 tokens
  Delegates a task to the specialized agent: TestAgent Expected Runtime: ~30s.
• wait_for_task ~233 tokens
  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=FAILE

Browse

• GitHub tools
• OpenClaw tools
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• Browser automation
• Website monitoring
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