fegis

fegis is an MCP server by p-funk. Define AI tools in YAML with natural language schemas. All tool usage is automatically stored in Qdrant vector database, enabling semantic search, filtering, and memory retrieval across sessions. It has 24 GitHub stars and ranks #779 of 1287 in Memory & Knowledge by stars.

Category: Memory & Knowledge
Author: p-funk
GitHub stars: 24
This week: Tracking since 24 Oct 2026
Language: Python
License: MIT (open source)
Last update: 2025-07-05 (16 months ago)
Links: Source PyPI

claude-desktop
mcp
mcp-server
mcp-servers

How to install fegis

fegis is published on PyPI as iflow-mcp_fegis, and it depends on mcp. 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 fegis -- uvx iflow-mcp_fegis

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

{
  "mcpServers": {
    "fegis": {
      "command": "uvx",
      "args": [
        "iflow-mcp_fegis"
      ]
    }
  }
}

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

Also listed in

Maintain this project? Get it featured ($99/mo, pinned at the top of Memory & Knowledge) or see what featuring includes.

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Frequently asked questions

What is fegis?

fegis is an MCP server by p-funk in the Memory & Knowledge category. Define AI tools in YAML with natural language schemas. All tool usage is automatically stored in Qdrant vector database, enabling semantic search, filtering, and memory retrieval across sessions. It has 24 GitHub stars and ranks #779 of 1287 in Memory & Knowledge by stars.

Is fegis free and open source?

Yes. fegis 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.

What are the alternatives to fegis?

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