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Why this server?
This server allows AI assistants to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages, which is relevant for analyzing and fixing Python code.
Why this server?
Analyzes codebases using Repomix and LLMs to provide structured code reviews with specific issues and recommendations, supporting multiple LLM providers including OpenAI, Anthropic, and Gemini. This is directly related to the request for code analysis and solutions.
Why this server?
Provides tools for accessing coding style guidelines and best practices for various technologies including Java, Python, and React, which can help in fixing coding style issues in Python projects.
Why this server?
Stdio MCP Server wrapping custom Python runtime (LocalPythonExecutor) from Hugging Faces' `smolagents` framework. The runtime combines the ease of setup (compared to docker, VM, cloud runtimes) while providing safeguards and limiting operations/imports that are allowed inside the runtime.
Why this server?
Provides clj-kondo linting capabilities for Clojure/ClojureScript/EDN files, useful for environments like Claude code and desktop that lack built-in linting, could help fix common linting errors in python code.
Why this server?
Bridges Large Language Models with Language Server Protocol interfaces, allowing LLMs to access LSP's hover information, completions, diagnostics, and code actions for improved code suggestions when analyzing python code.
Why this server?
SourceSage efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval, assisting in consistent code analysis.
Why this server?
This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption. Useful for fetching code snippets, documentations, and analysis regarding python code.
Why this server?
A Python-based text editor server built with FastMCP that provides tools for file operations enabling reading, editing, and managing text files, useful to fix python code in projects.
Why this server?
A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient, useful to create specialized tool to analyze and fix python code.