This project is a Model Context Protocol (MCP) server built with Spring Boot and Java 21, designed to provide user management tools for AI assistants. It supports synchronous communication, Standard I/O, and Server-Sent Events transports, and integrates with external APIs like DummyJSON for user data. The server exposes tools for CRUD operations on users, making it a robust solution for managing user data in AI-driven applications.

The FirstCycling MCP Server is a Model Context Protocol (MCP) implementation that offers access to professional cycling data from FirstCycling. It allows users to retrieve detailed information about professional cyclists, race results, race details, and historical cycling data. The server integrates with Claude for Desktop, enabling advanced analysis and research capabilities for cycling enthusiasts, journalists, and analysts.

The MailPace MCP Server is an implementation of the Model Context Protocol (MCP) designed to facilitate sending emails through MailPace's fast transactional email API. It provides features like sending emails to multiple recipients and integrates with Smithery for easy installation. This server is ideal for developers looking to automate email sending within their applications.

The ASDF plugin for MCP (Model Context Protocol) servers provides a unified interface for installing, switching between, and managing different versions of MCP-compatible servers. It supports various server types, including Claude API, MCP core, and local language models, eliminating the need for manual installation processes. This plugin enhances developer productivity by streamlining server management.

This repository provides a Python-based template for creating Model Context Protocol (MCP) servers, enabling developers to quickly set up servers that register and expose tools and prompts for AI models. It includes features like Docker support, command-line customization, and a structured project layout for easy development and deployment. The template is designed to integrate seamlessly with AI workflows and supports both local and cloud deployments.

This MCP server leverages Gaode Map's weather API to provide real-time weather data for specific cities. It is designed to be easily integrated with Claude Desktop and supports automatic installation via Smithery. The server is containerized using Docker, ensuring consistent deployment across environments.

The Raindrop.io MCP Server provides a seamless integration for managing bookmarks on Raindrop.io. It supports commands to add bookmarks, fetch the latest bookmarks, and search by tags or queries. This server is designed to be easily integrated with LLM applications like Claude or Cursor, enhancing productivity and bookmark management.

The Firefox Claude MCP Bridge Server is the backend component of the Firefox Claude MCP extension, designed to facilitate communication between the extension and the Claude web application. This server-side implementation ensures seamless integration and functionality, though it currently lacks detailed documentation. It is written in Rust and serves as a bridge for the Firefox extension.

ProjectDocHelper is an MCP (Model Context Protocol) server designed to automatically generate project documentation and make it accessible to AI development tools like Cursor. It supports multiple document generation modes, integrates Q&A content, and provides progress visualization. The server improves the accuracy and relevance of AI responses by providing structured and accessible project documentation.

The GraphQL MCP Server is a strongly-typed TypeScript implementation that facilitates dynamic access to any GraphQL API through Claude AI. It features schema introspection, full mutation support, and query whitelisting, ensuring secure and efficient API interactions. The server is MCP standard compliant, providing robust integration capabilities for developers leveraging Claude AI in their workflows.

The MCP Music Player Server is designed to handle music playback commands within the MCP client framework. It allows users to configure and execute music playback scripts, ensuring seamless integration with MCP clients. This server is essential for applications requiring audio functionality within the MCP ecosystem.

The DBT CLI MCP Server wraps the dbt CLI tool, allowing AI coding agents to execute dbt commands like run, test, compile, and more through Model Context Protocol (MCP) tools. It supports environment variable management, configurable dbt executable paths, and flexible profiles.yml configurations, making it easier to integrate dbt operations into AI workflows.

This MCP server is a powerful and flexible Node.js Express server that offers a comprehensive interface to the CoinGecko cryptocurrency data API. It supports both the free public API and the Pro API with automatic fallback, making it ideal for developers and AI systems like Claude. The server features RESTful endpoints, robust error handling, and simple setup options, ensuring seamless integration and access to cryptocurrency data.

The n8n-server MCP Server is a TypeScript-based implementation of the Model Context Protocol (MCP) that provides a simple notes system. It demonstrates core MCP concepts by offering resources for text notes with URIs and metadata, tools for creating new notes, and prompts for generating summaries of notes. The server is designed to integrate with Claude Desktop, making it easy to manage and summarize notes programmatically.

The WayStation MCP Server enables seamless integration of any MCP host with productivity tools through a secure, no-code platform. It simplifies the process of connecting applications and services, allowing users to streamline their workflows efficiently. The server supports integration with tools like Claude Desktop and provides an easy-to-use command-line interface for setup.

The Twilio Messaging MCP Server is designed to facilitate SMS messaging through the Twilio API, integrating seamlessly with MCP clients like Claude Desktop. It features secure credential handling without environment variables and uses Twilio API Keys for improved security. The server can be easily installed and configured for both local development and production environments.

The ThreatNews MCP Server is a specialized tool for gathering and processing threat intelligence in the cybersecurity domain. It supports data collection over specified time periods and can integrate with tools like Neo4j for creating knowledge graphs. The server is built to provide actionable insights for cybersecurity professionals.