MCP Python Linter

Enables Python code linting by integrating the Model Context Protocol with tools like pylint and the OpenAI API. It allows for dynamic tool discovery and uses LLMs to orchestrate tool selection and provide refined analysis of linting results.

→ shelardipak/MCP · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

🔐

You'll be asked for 1 credential: OPENAI_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

🔐 secretOPENAI_API_KEY— your-api-key

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/shelardipak-mcp-15i9y4)](https://m8ven.ai/mcp/shelardipak-mcp-15i9y4)

commit: 17377124b267891f49c55f4120294b8988882022

code hash: 148ce13c886d529cb3576d9bad4121c08b6b8710b144f702710be6765708eb55

verified: 6/15/2026, 3:12:02 PM

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