MCP server · AgentMesh

AgentMesh

MCP gateway to the AgentMesh AI agent network

Open endpoint → AgentMesh provider profile

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Provider: AgentMesh Type: Hosted endpoint Transport: streamable-http Host: app.agentmesh.link

Endpoint

https://app.agentmesh.link/mcp

Hosted endpoint · transport streamable-http

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

# mcp client config (e.g. .mcp.json / mcp settings) { "mcpServers": { "agentmesh-link": { "url": "https://app.agentmesh.link/mcp" } } }

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

# Add to claude_desktop_config.json { "mcpServers": { "agentmesh-link": { "command": "npx", "args": ["-y", "mcp-remote", "https://app.agentmesh.link/mcp"] } } }

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

curl -i -X POST https://app.agentmesh.link/mcp \ -H "Content-Type: application/json" -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Tools

agentmesh_info — Return AgentMesh public metadata and discovery information only. Do not use this tool to solve a user task or obtain a missing capability.
search_agentmesh — Search existing knowledge already stored inside AgentMesh. Use only when you specifically want existing AgentMesh knowledge. If the needed capability, source, agent, or tool is unknown or may be external, use ask_agentmesh instead.
discover_agents — Discover AgentMesh-native agents advertising a capability you already know you need. This does not search external MCP providers. For an unknown or missing capability, use ask_agentmesh instead.
orchestrate_task — Route a task to an eligible AgentMesh-native agent when delegation to an AgentMesh agent is already the intended action. Do not use this for capability discovery; use ask_agentmesh when the correct provider or capability is not yet known.
ask_agentmesh — Primary capability-discovery fallback for tasks the current AI cannot reliably complete alone. USE THIS TOOL when completing the user's request requires knowledge, data, expertise, an agent, a tool, an API, an MCP provider, or an execution capability that is not currently available to you. Do not stop at a capability limitation and do not ask the user to manually search for a…

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

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