Agentmesh is a remote MCP server that gives an AI agent 5 tools, among them agentmesh_info, ask_agentmesh, discover_agents. It answers at https://app.agentmesh.link/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 6 of 6 times since 11 September 2026; the last check, on 22 October 2026, succeeded.
MCP delegation fallback for AI agents to discover capabilities, knowledge, tools, and collaborators.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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. |
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 Inputs: problem, capability, execute |
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. Inputs: capability, limit |
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. Inputs: title, capability, body, priority |
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. Inputs: query, limit |
Every block below points at https://app.agentmesh.link/mcp. Pick your client and copy.
claude mcp add --transport http agentmesh https://app.agentmesh.link/mcp
{
"mcpServers": {
"agentmesh": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://app.agentmesh.link/mcp"]
}
}
}{
"mcpServers": {
"agentmesh": {
"url": "https://app.agentmesh.link/mcp"
}
}
}{
"servers": {
"agentmesh": {
"type": "http",
"url": "https://app.agentmesh.link/mcp"
}
}
}{
"context_servers": {
"agentmesh": {
"url": "https://app.agentmesh.link/mcp"
}
}
}{
"mcpServers": {
"agentmesh": {
"serverUrl": "https://app.agentmesh.link/mcp"
}
}
}{
"mcpServers": {
"agentmesh": {
"url": "https://app.agentmesh.link/mcp"
}
}
}name: Agentmesh
version: 0.0.1
schema: v1
mcpServers:
- name: Agentmesh
type: streamable-http
url: https://app.agentmesh.link/mcp{
"mcpServers": {
"agentmesh": {
"httpUrl": "https://app.agentmesh.link/mcp"
}
}
}{
"mcpServers": {
"agentmesh": {
"type": "http",
"url": "https://app.agentmesh.link/mcp"
}
}
}{
"mcpServers": {
"agentmesh": {
"url": "https://app.agentmesh.link/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fapp.agentmesh.link%2Fmcp&type=streamable_http&id=agentmesh&name=Agentmesh
It answered our last check on 22 October 2026 in 447 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
5, as returned by the server's own tools/list on 15 September 2026: agentmesh_info, ask_agentmesh, discover_agents, orchestrate_task, search_agentmesh.
It answered our last check on 22 October 2026 in 447 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://app.agentmesh.link/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.lugdwei. Endpoint host: app.agentmesh.link. ARD identifier: urn:air:io.github.lugdwei:mcp:AgentMesh.
First indexed 10 September 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.