# MCP Server

An MCP server project for threat information collection, supporting the collection of threat intelligence within a specified time range through command - line tools and integration with the Neo4j knowledge graph.

A personal learning project that builds a small AI agent by integrating the X API with the MCP server to explore backend integration and AI workflows, with an emphasis on security and ethical practices.

A simple MCP server demonstration project built based on the KD nuggets tutorial

An MCP server based on the Bocha Search API for online search functionality, requiring the service key of Bocha AI.

This project is an MCP custom server collection that contains multiple independent MCP server implementations. Each server has its own source code, configuration files, and documentation, and templates are provided for creating new servers.

This project is a Python tutorial practice on how to create an MCP server. You can add and manage the MCP server through the Claude command-line tool, and it supports testing and debugging of AI functions such as the ChromaDB vector database.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers, covering multiple fields such as browser automation, art and culture, cloud platforms, command - line tools, communication, customer data platforms, databases, developer tools, file systems, finance and fintech, games, knowledge and memory, location services, marketing, monitoring, search, security, travel and transportation, version control, and other tools and integrations.

The MCP server project of Alpha Vantage for interacting with the stock market data API.

This tutorial introduces how to use the MCP Python SDK to build a simple MCP server, including defining tools, resources, and prompts, and conducting interactive tests through the MCP Inspector.

This project is an MCP server based on QTMCP, mainly used for local file management of source code, including listing, reading, and writing operations, and depends on the QT-6 framework.

The ZenTao Bug Management MCP Server based on FastMCP provides product search, bug query, and resolution functions, supporting automatic login, intelligent search, and image extraction

A server based on the Model Control Protocol (MCP) for managing and providing dynamic prompt templates. It utilizes the powerful Go text template engine, supports variables, conditions, loops, and reusable components, allows the creation of logic-driven prompt templates, and can seamlessly integrate with MCP-compatible clients such as Claude and Gemini.

A high-performance MCP server based on Rust that encapsulates the Factory.ai Droid CLI tool, providing AI-assisted programming capabilities for MCP clients such as Claude Code. It supports full Droid parameter mapping, session management, custom models, and fine-grained permission control.

MeiGen AI Design MCP is an open-source MCP server that provides creative design capabilities for LLM, supports local ComfyUI and cloud API, has a built-in library of over 1300 professional prompts, and can achieve multi-directional parallel image generation.

An experimental implementation of the Apache Sling MCP server for integrating AI assistants with the Sling content management platform.

A SQL persistent memory server project based on the MCP protocol, supporting CRUD operations through the Gemini Code Assist extension in VS Code, including storing, retrieving, updating, and deleting memory data.

A Resend email service MCP server based on the Model Context Protocol, providing AI assistants with complete Resend API functions such as sending emails, managing domains, API keys, contacts, and audiences.

A Model Context Protocol server that provides access to over 100 handpicked AI agent skills from the VoltAgent Awesome Agent Skills collection, capable of transforming an AI assistant into an expert with professional skills.

A remote MCP server project based on Cloudflare Workers, supporting OAuth login and integrable with MCP Checker and Claude desktop applications.

AppDog is a project that can easily generate MCP servers from OpenAPI specifications, aiming to simplify the development process and help developers quickly build applications.

An MCP server integrated with the esa.io API, providing basic article operation functions.

A research - oriented MCP server project integrating Notion data interaction functions

MCP - AWS is an AI - based application that manages AWS EC2 instances through OpenAI agents and the MCP server, supporting natural language commands to create and terminate instances.

This is a VS Code-based MCP server template project for external reconnaissance tasks. The project uses the uv tool for environment management and dependency installation, supports Python 3.11+ versions, and includes the dnspython dependency and a custom external-recon.py script.

An MCP server project developed by Yusuke Wada, which uses Node.js to run the game server and adopts the MIT license

A service for running stdio MCP servers on the network, supporting the installation of MCP servers via references such as GitHub and environment configuration.

A home automation project focused on researching the MCP server, supporting controlling lights, temperature, door locks, and viewing status through the terminal.

The MCP-Framework is a TypeScript-based framework for elegantly building Model Context Protocol (MCP) servers. It provides an out-of-the-box architecture, supports automatic directory discovery of tools, resources, and prompts, and has multiple transmission methods and type-safe features.

This is a leave management system server based on the Model Context Protocol (MCP). It allows AI assistants (such as Claude, Cursor) to act as HR collaborators, automatically completing the entire process of collecting leave information, verifying company policies, automatically approving requests, and generating user - friendly confirmation notifications. The system is built using Python and the fastmcp framework, with built - in verification rules and audit trails, aiming to replace traditional manual processes and provide secure and composable HR automation operations for AI agents.

This is an OpCon automation platform MCP server based on the Model Context Protocol. It automatically generates 257 tools through the OpenAPI specification, provides complete API coverage and a type - safe TypeScript implementation, supports token and username/password authentication, and includes monitoring metrics and development tools.