# pyscn (MCP server)

> pyscn is an MCP server that adds developer tools to AI assistants such as Claude Desktop, Claude Code and Cursor. Python code analysis for AI agents: complexity, dead code, clones, coupling, and a health score. It has 1,090 GitHub stars, is released under the MIT license and runs locally with uvx pyscn-mcp.

Code quality analysis for Python in the age of AI coding. Building with Cursor, Claude, or ChatGPT? pyscn keeps AI-generated code maintainable with structural analysis.

## Key facts

| Fact | Value |
|---|---|
| Repository | https://github.com/ludo-technologies/pyscn |
| GitHub stars | 1,090 |
| License | MIT |
| Language | Go |
| Transport | stdio |
| Packages | pypi: pyscn-mcp |
| Remote URL | none |
| Needs API key | no |
| Official | no |
| Works with | Claude Desktop, Claude Code, Cursor, VS Code |
| Category | Developer tools |
| Latest release | v1.32.3 (Oct 3, 2026) |
| Last commit | Oct 3, 2026 |
| MCP registry name | io.github.ludo-technologies/pyscn |

## Install

### Claude Desktop (claude_desktop_config.json)

```json
{
  "mcpServers": {
    "pyscn": {
      "command": "uvx",
      "args": [
        "pyscn-mcp"
      ],
      "env": {
        "PYSCN_CONFIG": "your-value"
      }
    }
  }
}
```

Settings > Developer > Edit Config. macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Restart Claude Desktop afterwards.

### Claude Code

```sh
claude mcp add --env PYSCN_CONFIG=your-value --transport stdio pyscn -- uvx pyscn-mcp
```

### Cursor (.cursor/mcp.json)

```json
{
  "mcpServers": {
    "pyscn": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "pyscn-mcp"
      ],
      "env": {
        "PYSCN_CONFIG": "your-value"
      }
    }
  }
}
```

Project file; use ~/.cursor/mcp.json to enable it in every project.

### VS Code (.vscode/mcp.json)

```json
{
  "servers": {
    "pyscn": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "pyscn-mcp"
      ],
      "env": {
        "PYSCN_CONFIG": "your-value"
      }
    }
  }
}
```

Config formats checked against the official docs on 2026-10-07.

## Environment variables

- `PYSCN_CONFIG`: Path to a .pyscn.toml configuration file. Defaults to the usual config discovery (.pyscn.toml, then pyproject.toml) starting from the analyzed directory.

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