Awesome MCP Servers

Put performance and error data directly in the hands of your AI assistant.

Obtains latest dependency details for Clojure libraries.

An MCP server providing a complete toolset for Clojure development, requiring a running nREPL server.

A server for logging, deployable as a Cloudflare Worker.

An example MCP server designed for easy deployment on Cloudflare Workers, operating without authentication.

An example of deploying a remote MCP server on Cloudflare Workers without authentication.

A template for deploying a remote MCP server on Cloudflare Workers without authentication.

A remote MCP server example deployable on Cloudflare Workers without authentication.

An example of deploying a customizable, remote MCP server on Cloudflare Workers without authentication.

A minimal file bundling and tagging tool for AI development, featuring a web interface and MCP server mode for AI integration.

Retrieve README files and package information from CocoaPods.

Access the Codacy API to analyze code quality, coverage, and security for your repositories.

A modular MCP server for code analysis, supporting file operations, code search, and structure analysis.

A server for code modification and generation using Large Language Models.

A Rust-based CLI tool for code-related tasks, operating as an MCP server.

Provides code context from local git repositories.

Provides code context and analysis for AI assistants using WebAssembly Tree-sitter parsers.

Enables AI assistants to write, edit, and manage code files directly in a specified directory, respecting .gitignore patterns.

Code Rag with Graph - local only installation

A server for code indexing, searching, and analysis, enabling LLMs to interact with code repositories.

A knowledge management tool for code repositories using vector embeddings, powered by a local Ollama service.

Enhances Claude's ability to solve complex programming tasks through structured, step-by-step thinking.

Run code snippets in various programming languages and view the output.

Execute JavaScript and Python code in a secure sandbox. Supports Deno for JS/TS and Pyodide for Python, with configurable permissions.

A secure sandbox for executing code in Docker containers, providing a safe environment for AI applications.

Scans code files for definitions, respects .gitignore, and outputs in LLM-friendly formats like XML or Markdown.

Generate beautiful, shareable images from code snippets with syntax highlighting and multiple themes.

A command-line tool that summarizes code files in a directory using Gemini Flash 2.0.

Hot reload remote containerized Python applications directly from your IDE.

Analyzes local and remote GitHub repositories to provide code understanding and context generation, including structure analysis, file identification, and semantic mapping.

A local-first code indexer that enhances LLMs with deep code understanding. It integrates with AI assistants via the Model Context Protocol (MCP) and supports AI-powered semantic search.