Connect-MCP

Agent Router

io.github.Tim-Projekt/agent-router · v1.0.0

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

MCPremoteAPI keyTasks & projects

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 26 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 85/100

What it does: 26 tools · 3 read, 0 write · Tasks & projects, Web search & scraping

Test call discover_agents: worked (2,805 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: 0
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://agent-router.org/mcp-http/mcp

Tools

26 tools listed at last check
  • a2a_call_agent 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.
  • wait_for_task 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
  • discover_agents 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
  • search_skills 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
  • get_skill 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
  • sandboxcodingagent 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
  • softwareengineeringexpert 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
  • scientificresearchagent 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.
  • constructivecritic Analyzes complex approaches and strategies by identifying strengths and weaknesses. Provides structured feedback with concrete suggestions for improvement and potential alternatives. Expected Runtime: ~30s.
  • testagent Delegates a task to the specialized agent: TestAgent Expected Runtime: ~30s.
  • exploitagent Agent created via direct DB write Expected Runtime: ~30s.
  • taskplanner 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.
  • researchagent 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
  • browsernavigationagent 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
  • reasoningdelegationlow 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
  • firstprinciplesanalyst 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
  • reasoningdelegationmedium 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
  • reasoningdelegationhigh 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
  • campbuddy 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.
  • nexus_strategy_analyst 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.
  • financial_agent full financial agent Expected Runtime: ~60s.
  • silpo_home_restaurant 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
  • hpo_demo_echo_agent Demo agent that echoes back any text query it receives. Useful for testing A2A webhook integrations. Expected Runtime: ~10s.
  • russian_website_legal_auditor 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
  • smart_fridge___nutrition 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
  • stock_market Fundamental Analysis Expected Runtime: ~30s.

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