Awesome MCP Servers

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

Provides blockchain services for over 30 EVM-compatible networks through a unified interface.

An Elixir-based MCP server for testing and experimenting with the Model Context Protocol.

Interact with the Explorium API to access external data for machine learning.

Create and manage Terraform modules for cloud-native infrastructure using the Facets.cloud FTF CLI.

An MCP server for Factifai, enabling integration with any MCP-compatible AI tool to create and retrieve test results asynchronously.

A frontier image generation and editing model with advanced text rendering and contextual understanding, powered by the FAL AI API.

Generate high-quality images using Google's Imagen 4 Ultra model via the FAL AI platform.

A server for the Fal.ai text-to-image API, powered by OpenAI's image model. Requires Fal.ai and OpenAI API keys.

Advanced text-to-image generation using the fal.ai Recraft v3 API.

A Ruby implementation of the Model Context Protocol (MCP) server for integrating AI models into Ruby applications.

A MCP server implementation using the FastAPI framework, configurable via environment variables.

A FastAPI application demonstrating MCP integration for mathematical operations and tool registration.

A zero-configuration tool to automatically expose FastAPI endpoints as MCP tools.

A TypeScript framework for building MCP servers with client session handling.

A fast, Pythonic framework for building MCP servers and clients.

An AI-powered threat intelligence analysis tool for multi-source IOC analysis, APT attribution, and interactive reporting.

A Scala 3 library for building Model Context Protocol (MCP) servers.

A scalable platform for dynamic tool registration and execution based on API definitions, with integrations for services like Claude.ai and Cursor.ai.

A static code analysis server for enterprise-scale Haskell codebases, providing over 40 comprehensive analysis tools.

An AI-powered server that facilitates feature discussions between developers and AI, acting as a lead developer to guide implementation and architectural decisions.

Fetches API information from Feishu OpenAPI for seamless integration and management within an IDE.

An MCP server with built-in Feishu OAuth authentication, deployable on Cloudflare Workers.

An MCP server with built-in Feishu OAuth authentication, deployable on Cloudflare Workers.

Integrate Figma design data with AI coding tools using a local MCP server.

Interact with the Figma API to access and manage design files and resources.

Interact with Figma files to view, comment on, and analyze designs.

Access and interact with Figma files and prototypes directly from AI agents.

A Vue 3 component library with automated design token synchronization from Figma.

Extract code, assets, and component structures from Figma designs to use within AI workflows.

Provides Figma layout information to AI coding agents like Cursor.