Agent Router

Name: Agent Router
Author: Tim-Projekt

MCP serverMCP

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

by Tim-Projektrepository ↗homepage ↗v1.0.0

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Observed by Wellknown

Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability11/11 checks ok

30 days ago

when	check	result	http	latency	detail
7 h ago	mcp initialize	ok	200	111 ms	server AgentToAgent MCP Backend 1.29.1 · protocol 2025-06-18 · 25 tools
14 h ago	mcp initialize	ok	200	116 ms	server AgentToAgent MCP Backend 1.29.1 · protocol 2025-06-18 · 25 tools
22 h ago	mcp initialize	ok	200	69 ms	server AgentToAgent MCP Backend 1.29.1 · protocol 2025-06-18 · 25 tools
31 h ago	mcp initialize	ok	200	63 ms	server AgentToAgent MCP Backend 1.29.1 · protocol 2025-06-18 · 25 tools
2 d ago	mcp initialize	ok	200	101 ms	server AgentToAgent MCP Backend 1.29.1 · protocol 2025-06-18 · 25 tools
2 d ago	mcp initialize	ok	200	112 ms	server AgentToAgent MCP Backend 1.29.1 · protocol 2025-06-18 · 25 tools
2 d ago	mcp initialize	ok	200	324 ms	server AgentToAgent MCP Backend 1.29.1 · protocol 2025-06-18 · 25 tools
2 d ago	mcp initialize	ok	200	95 ms	server AgentToAgent MCP Backend 1.29.1 · protocol 2025-06-18 · 25 tools
3 d ago	mcp initialize	ok	200	104 ms	server AgentToAgent MCP Backend 1.29.1 · protocol 2025-06-18 · 25 tools
3 d ago	mcp initialize	ok	200	104 ms	server AgentToAgent MCP Backend 1.29.1 · protocol 2025-06-18 · 25 tools

Tools observed via MCP handshake

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 agen
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. t
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 too
search_skills — Semantically search the live ClawHub skills registry (clawhub.ai). ClawHub hosts OpenClaw SKILL.md packages — behavior templates, tool integrations, an
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 resp
sandboxcodingagent — Executes Python or JavaScript code in an isolated, stateless sandbox to validate, test, or solve tasks. Produces concrete, structured outputs from actual code e
softwareengineeringexpert — Performs expert-level software engineering analysis to solve tasks using repository and code evidence as the primary source. Investigates architecture, dependen
scientificresearchagent — Analyzes tasks, questions, or problems strictly from a scientific perspective. Retrieves, synthesizes, and evaluates evidence from academic literature across re
constructivecritic — Analyzes complex approaches and strategies by identifying strengths and weaknesses. Provides structured feedback with concrete suggestions for improvement and p
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
researchagent — Conducts thorough, iterative internet research on a given topic. Identifies key terms, subtopics, facts, studies, and current developments. Compares sources, va
browsernavigationagent — Performs goal-oriented web navigation to complete tasks using a browser tool. Accesses websites, searches, clicks links, interacts with forms, and extracts rele
reasoningdelegationlow — A low-effort reasoning agent designed to handle simple to moderate tasks by performing lightweight reflection and structured thinking. It provides quick, cost-e
firstprinciplesanalyst — Deconstructs complex tasks or problems using a first-principles approach. Identifies fundamental components, dependencies, and leverage points, and generates at
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 e
reasoningdelegationhigh — The high-effort reasoning agent is built for complex tasks that require deep, multi-step analysis and robust problem-solving. It thoroughly evaluates alternativ
campbuddy — Plan complete camping trips based on destination, weather, experience level, group size, budget, and activities. Generate packing lists, meal plans, safety chec
nexus_strategy_analyst — Autonomous strategic analysis framed in NEXUS's lens: competitive positioning, portfolio economics, and defensibility. Returns structured, actionable strategy r
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, pr
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 с
smart_fridge___nutrition — Tracks household food inventory, expiry risks and replenishment needs; considers user food restrictions and preferences; prepares transparent product recommenda

Agent Router

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