mcp-mesh

by dhyansraj · AI Agent Frameworks · ★ 42

Category: AI Agent Frameworks
Author: dhyansraj
GitHub stars: 42
This week: Tracking since 18 Oct 2026
Language: Python
License: MIT (open source)
Last update: 2026-10-05 (19 days ago)
Links: Source Website PyPI

a2a
a2a-protocol
agentic-ai
ai-agents
ai-agents-framework
distributed-ai
java
kubernetes
mcp
mcp-mesh
modelcontextprotocol
python
+1 more

How to install mcp-mesh

mcp-mesh is published on PyPI as mcp-mesh, and it depends on fastmcp. These steps assume it runs as a local stdio server, which is the usual setup.

Check the README. Confirm the start command and note any API keys or environment variables it needs (pass them with -e KEY=value or an env block). You need uv for uvx.
Add it to Claude Code from a terminal:
```
claude mcp add mcp-mesh -- uvx mcp-mesh
```

Or add it to Cursor or Claude Desktop in .cursor/mcp.json or claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-mesh": {
      "command": "uvx",
      "args": [
        "mcp-mesh"
      ]
    }
  }
}

Restart the client and check it. Run claude mcp list, or open the client's MCP settings, and confirm mcp-mesh and its tools are listed. The install guide covers VS Code and Codex.

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Frequently asked questions

What is mcp-mesh?

Is mcp-mesh free and open source?

Yes. mcp-mesh is published under the MIT license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

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Data last updated 25 October 2026. Stars and downloads are refreshed every day from GitHub and npm.