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MCP Code Checker MCP Server

MCP server providing code quality checks (pylint and pytest) with smart LLM-friendly prompts for analysis and fixes. Enables Claude and other AI

Local serverstdioPython

What is the MCP Code Checker MCP Server?

MCP server providing code quality checks (pylint and pytest) with smart LLM-friendly prompts for analysis and fixes. Enables Claude and other AI assistants to

What the server does

A Model Context Protocol (MCP) server providing code quality checking operations with easy client configuration. This server offers an API for performing code quality checks within a specified project directory, following the MCP protocol design.

This MCP server enables AI assistants like Claude (via Claude Desktop), VSCode with GitHub Copilot, or other MCP-compatible clients to run code quality checks on Python projects. The tools provided are:

  • run_pylint_check: Run pylint on the project code and generate smart prompts for LLMs
  • run_pytest_check: Run pytest on the project code and generate smart prompts for LLMs
  • run_mypy_check: Run mypy type checking on the project code

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the MCP Code Checker MCP Server

{
    "mcpServers": {
        "mcp-tools-py": {
            "command": "mcp-tools-py",
            "args": [
                "--project-dir", "/path/to/your/project",
                "--venv-path", "${VIRTUAL_ENV}"
            ]
        }
    }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
PYTHONPATHPython module search path for a local installation.Optional

Example prompts to try

  • “Use MCP Code Checker to Notes.”
  • “Use MCP Code Checker to Troubleshooting.”

Frequently asked questions

MCP Code Checker provides a more focused, secure approach: only pylint, pytest, and mypy can be executed, all operations are scoped to the specified `project_dir`, and results are formatted and size-limited to reduce context load. The server also logs every tool call with parameters, timing, and results.

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