Awesome MCP Servers

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

Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more

Aggregates multiple MCP resource servers into a single interface.

A proxy server for aggregating and serving multiple MCP resource servers through a single endpoint.

Aggregates multiple MCP resource servers into a single interface with stdio/sse support.

A server for real-time Python code validation using Pyrefly, designed to prevent common coding errors from LLMs.

Auto-detect stubbable packages for Python exe builds (PyInstaller/Nuitka) and generate minimal stub code to reduce executable size

An interactive Python REPL server with built-in support for the uv package manager and virtual environments.

Give your AI full computer access — safely. Let Claude (or any MCP-compatible LLM) see your screen, move the mouse, type on the keyboard, and run commands — all inside an isolated QEMU virtual machine. Perfect for AI-driven automation, testing, and computer-use experiments without risking your host system.

A basic MCP server from the Quickstart Guide, adapted for OpenAI's Chat Completions API.

Expose R functions through the Model Context Protocol (MCP) for seamless integration with AI assistants.

A local MCP server implementing Retrieval-Augmented Generation (RAG) with sentence window retrieval and support for multiple file types.

A Python server providing Retrieval-Augmented Generation (RAG) functionality. It indexes various document formats and requires a PostgreSQL database with pgvector.

A lightweight Python server for Retrieval-Augmented Generation (RAG) using AWS Lambda. It retrieves knowledge from external data sources like arXiv and PubMed.

Generates true random numbers using atmospheric noise from random.org.

Analyze images using OpenRouter's vision models. Requires an OpenRouter API key.

A reasoning engine with multiple strategies, including Beam Search and Monte Carlo Tree Search.

Interact with an MCP registry to check health, list entries, and get server details.

A remote proxy for MCP that enables local clients to connect to remote servers via OAuth.

Provides remote machine control capabilities, eliminating SSH overhead for token-efficient system operations.

MCP server that gives LLMs structural code intelligence across multiple repos

Provides MCP server configurations for accessing the Brave Search and GitHub APIs.

A server for interacting with REST APIs, featuring authentication and Swagger documentation support.

Reticle intercepts, visualizes, and profiles JSON-RPC traffic between your LLM and MCP servers in real-time, with zero latency overhead. Stop debugging blind. Start seeing everything.

Manage background processes for AI agents using the Model Context Protocol (MCP).

A proxy for routing requests to remote MCP servers.

A unified gateway for routing requests to multiple Model Context Protocol servers.

Query multiple LLMs in parallel from AI coding tools — rubber duck debugging, but the ducks talk back.

An MCP server that enforces rules from markdown files for AI agents. This is a zero-tool version that requires an external rules file.

A Rust template for creating MCP CLI servers, with support for JSON-based prompts, resources, and tools.

An interactive sandbox to safely execute Python code and install packages in isolated Docker containers.

Execute Python code and install packages safely within isolated Docker containers.