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

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.

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.

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.

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

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.

Performs a Trivy scan to produce a Software Bill of Materials (SBOM) in CycloneDX format.

Performs a Trivy scan to produce a Software Bill of Materials (SBOM) in CycloneDX format.

Execute developer-defined bash scripts in a Dockerized environment for coding agents.

Automate web browsers using Selenium WebDriver via MCP.

Simulate DNA and amino acid sequences using evolutionary models and algorithms.

A .NET server for generating and validating vehicle serial numbers.

A backend service providing tools, resources, and prompts for AI models using the Model Context Protocol (MCP).

A framework for AI-powered command execution and a plugin-based tool system. It can be run as a standalone service or embedded in other projects to expose a consistent API for invoking tools and managing tasks.

Automate data science stages using your own CSV data files.

A cross-platform MCP server implementation for Amazon Q and Claude, providing multiple tools in a single executable.

A sample MCP server that uses Asgardeo for client authentication and connection.

An MCP server with built-in GitHub OAuth support, designed for deployment on Cloudflare Workers.

Provides AI extension capabilities via the Model Context Protocol.

A CLI tool to automate packaging MCP servers as Docker images and deploying them to AWS ECS.

A command-line tool to automate the deployment of MCP servers to AWS ECS.

A TypeScript boilerplate for building MCP servers with streamable HTTP and OAuth proxy support.