Agent Router is a remote MCP server that gives an AI agent 25 tools, among them a2a_call_agent, browsernavigationagent, campbuddy. It answers at https://agent-router.org/mcp-http/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.
Discover and call AI agents via MCP. Supports A2A agents and platform agents with async tasks.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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 Inputs: agent_url, message, context_id, timeout_seconds |
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 Inputs: payload |
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. Expect Inputs: payload |
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. Inputs: payload |
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 f Inputs: query, limit |
exploitagent | Agent created via direct DB write Expected Runtime: ~30s. Inputs: payload |
financial_agent | full financial agent Expected Runtime: ~60s. Inputs: payload |
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 wi Inputs: payload |
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 Inputs: slug, include_content |
hpo_demo_echo_agent | Demo agent that echoes back any text query it receives. Useful for testing A2A webhook integrations. Expected Runtime: ~10s. Inputs: payload |
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. Inputs: payload |
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 unce Inputs: payload |
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 ca Inputs: payload |
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 alte Inputs: payload |
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-qua Inputs: payload |
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 Inputs: payload |
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 w Inputs: payload |
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 Inputs: payload |
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 Inputs: query, top_k |
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 wi Inputs: payload |
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 Inputs: payload |
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 insight Inputs: payload |
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 Inputs: payload |
testagent | Delegates a task to the specialized agent: TestAgent Expected Runtime: ~30s. Inputs: payload |
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 al Inputs: task_id, max_wait_seconds |
Every block below points at https://agent-router.org/mcp-http/mcp. Pick your client and copy.
claude mcp add --transport http agent-router https://agent-router.org/mcp-http/mcp
{
"mcpServers": {
"agent-router": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://agent-router.org/mcp-http/mcp"]
}
}
}{
"mcpServers": {
"agent-router": {
"url": "https://agent-router.org/mcp-http/mcp"
}
}
}{
"servers": {
"agent-router": {
"type": "http",
"url": "https://agent-router.org/mcp-http/mcp"
}
}
}{
"context_servers": {
"agent-router": {
"url": "https://agent-router.org/mcp-http/mcp"
}
}
}{
"mcpServers": {
"agent-router": {
"serverUrl": "https://agent-router.org/mcp-http/mcp"
}
}
}{
"mcpServers": {
"agent-router": {
"url": "https://agent-router.org/mcp-http/mcp"
}
}
}name: Agent Router
version: 0.0.1
schema: v1
mcpServers:
- name: Agent Router
type: streamable-http
url: https://agent-router.org/mcp-http/mcp{
"mcpServers": {
"agent-router": {
"httpUrl": "https://agent-router.org/mcp-http/mcp"
}
}
}{
"mcpServers": {
"agent-router": {
"type": "http",
"url": "https://agent-router.org/mcp-http/mcp"
}
}
}{
"mcpServers": {
"agent-router": {
"url": "https://agent-router.org/mcp-http/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fagent-router.org%2Fmcp-http%2Fmcp&type=streamable_http&id=agent-router&name=Agent%20Router
It answered our last check on 18 October 2026 in 167 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
25, as returned by the server's own tools/list on 31 August 2026: a2a_call_agent, browsernavigationagent, campbuddy, constructivecritic, discover_agents, exploitagent, financial_agent, firstprinciplesanalyst, and 17 more.
It answered our last check on 18 October 2026 in 167 ms. Over 10 checks since 5 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://agent-router.org/mcp-http/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.tim-projekt. Endpoint host: agent-router.org. ARD identifier: urn:air:io.github.tim-projekt:mcp:agent-router.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.