Awesome MCP Servers

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

A server for validating quantum computing library code, with support for PennyLane.

Perform quantum computations using OpenAI and IBM Quantum APIs.

A quantum circuit simulator with noise models and OpenQASM 2.0 support, accessible via the Model Context Protocol (MCP).

Quarkus-based MCP servers for interacting with JDBC databases, filesystems, and Docker containers.

A server for creating charts and visualizations using the Quick Chart API.

Generate chart images and URLs using the QuickChart.io API with Chart.js configurations.

A framework for developing LLM applications with capabilities like tool usage, planning, and memory, based on the Qwen model.

A local MCP server providing powerful code analysis and search capabilities for software projects.

Provides structured workflows and tools for AI agents working with software development projects, with a specialized focus on Rails applications.

A Ruby gem providing secure Rails console access through MCP for AI agents and development tools.

An MCP server for Rails projects, allowing LLMs to interact with your application.

An intelligent tool for AI assistants to present multiple UI component designs for user selection.

Provides LLMs with essential random generation abilities, built entirely on Python's standard library.

A random element generation service based on EVM block hash for games, finance, testing, and other fields.

A collection of production-ready MCP servers optimized for Raspberry Pi and AI workloads.

An MCP server for managing Ray clusters, jobs, and distributed computing workflows.

Interact with your crash reporting and real using monitoring data on your Raygun account

An MCP server for integrating AI with React applications.

Connects to the React Native application debugger to retrieve console logs from Metro.

A reactive AI agent framework for creating agents that use tools to perform tasks, with support for multiple LLM providers and MCP servers.

Enables AI agents to access and understand package documentation from local or remote repositories.

Serves multiple OpenAPI specifications to enable LLM-powered IDE integrations.

Provides Go language updates and best practices in a structured Markdown format for LLM coding agents.

Generate and edit raster/vector images, vectorize, remove/replace backgrounds, and upscale using the Recraft AI API.

Up-to-date documentation for your coding agent. Covers 1000s of public repos and sites. Built by ref.tools

Refactor code using regex-based search and replace.

Automated refactoring tools for C# code transformation using Roslyn.

Reference implementations of Model Context Protocol (MCP) servers in Typescript and Python, showcasing MCP features and SDK usage.

Refines and structures prompts for large language models using the Anthropic API.

A FastMCP implementation of the in-house MCP servers used by Units of the Rei Network.