How to install pyscn in Gemini CLI

Python code analysis for AI agents: complexity, dead code, clones, coupling, and a health score.

Indexed, not yet reviewed

We found pyscn in the official MCP registry. Our automated check passed on Nov 1, 2026 (it confirms the server is published and reachable), but no one at CuratedMCP has reviewed its code, permissions or credentials handling. Check what it can access before you give it keys. Scan your machine free to see every MCP server you have installed.

Steps

1Install uv (for uvx): https://docs.astral.sh/uv/
2Open ~/.gemini/settings.json (or .gemini/settings.json in your project)
3Add the entry below. If the file already has "mcpServers", add just the inner entry
4Restart Gemini CLI and run /mcp to confirm

Configuration

~/.gemini/settings.json

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

Environment variable	Required	What it is
PYSCN_CONFIG	No	Path to a .pyscn.toml configuration file. Defaults to the usual config discovery (.pyscn.toml, then pyproject.toml) starting from the analyzed directory.

Install in other clients

Claude Code Cursor Claude Desktop Windsurf OpenAI Agents SDK

About pyscn: repo, license and check results →

Maintain pyscn?

Claim this page to get a full CuratedMCP listing: edit your description, see listing analytics, and add our README badge. Listing is free, and a person checks every submission before it goes live. We'll pre-fill the form from the registry.

Claim this listing What maintainers get