Python code analysis for AI agents: complexity, dead code, clones, coupling, and a health score.
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claude mcp add pyscn -e PYSCN_CONFIG=<PYSCN_CONFIG> -- uvx pyscn-mcp==1.33.2
{
"mcpServers": {
"pyscn": {
"command": "uvx",
"args": [
"pyscn-mcp==1.33.2"
],
"env": {
"PYSCN_CONFIG": "<PYSCN_CONFIG>"
}
}
}
}
{
"mcpServers": {
"pyscn": {
"command": "uvx",
"args": [
"pyscn-mcp==1.33.2"
],
"env": {
"PYSCN_CONFIG": "<PYSCN_CONFIG>"
}
}
}
}
{
"servers": {
"pyscn": {
"type": "stdio",
"command": "uvx",
"args": [
"pyscn-mcp==1.33.2"
],
"env": {
"PYSCN_CONFIG": "<PYSCN_CONFIG>"
}
}
}
}
Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.
Tools
This server runs locally, so its tools are listed by your MCP client once it starts.
Environment variables
| Name | Description |
|---|---|
PYSCN_CONFIGOptional | Path to a .pyscn.toml configuration file. Defaults to the usual config discovery (.pyscn.toml, then pyproject.toml) starting from the analyzed directory. |
Details
| Package | [email protected] (PYPI, stdio) |
| First published | 8 Nov 2026 |
| Last updated | 8 Nov 2026 |
| Registry name | io.github.ludo-technologies/pyscn |
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