This project is a collection of learning resources about Model Context Protocol (MCP), including guides, tools, and server implementations, aiming to help developers understand and apply the MCP standard. The project provides multiple example implementations of MCP servers, such as file system operations, Git management, GitHub integration, etc., as well as development guides and practical tools.

LYRAIOS is a multi-AI agent operating system based on the Model Context Protocol (MCP), aiming to extend AI application functions by connecting financial networks and public blockchain chains, providing services such as blockchain operations, fintech analysis, and educational learning.

An image processing server based on the MCP protocol that enables professional - level image editing functions through natural language instructions, including generation, modification, background removal, and hosting services.

Beanquery MCP is an experimental implementation of the Model Context Protocol (MCP) server for interacting with Beancount ledger files, enabling querying and analysis of financial data through the BQL query language and the beanquery tool.

The Linear Regression MCP project demonstrates an end-to-end machine learning workflow using Claude and the Model Context Protocol (MCP), including data preprocessing, model training, and evaluation.

An interactive web tutorial for learning how to build an MCP (Model Context Protocol) server, providing step-by-step guidance and real-time code examples.

The Allora MCP Server is an implementation based on the Model Context Protocol (MCP) that provides the function of obtaining machine learning inference data from the Allora network, enabling AI systems to seamlessly access Allora prediction market data.

The ScrapeGraph MCP Server is a production - ready model context protocol server that provides seamless integration with the ScrapeGraph AI API, enabling language models to leverage advanced AI - driven web scraping capabilities.

An MCP service that helps technical coaches create structured learning hour meeting content, following the 4C learning model to generate a complete 60 - minute technical practice course plan including connection, concept, practice, and conclusion.

This project enables large language models to learn users' workflows by parsing MHT files generated by PSR.exe.

This is an MCP server designed for VSCode, specifically used for searching the documentation of Lean Mathlib 4. It allows users to query declarations, modules, and instances and obtain relevant documentation links and detailed information.

The MCP Game Helper is a custom model context protocol server that provides AI - assisted tools for game developers, focusing on tasks such as combat balance, skill analysis, level rhythm, and simulation.

The GoHighLevel MCP server is a fundamental project aiming to connect the GoHighLevel community with AI automation through the Model Context Protocol (MCP). It provides access to all sub - account level GoHighLevel API endpoints, supports 269 tools, covering multiple functional categories such as contact management, messaging, sales pipelines, and calendar appointments. The project emphasizes community collaboration, an open architecture, and educational resources, while also reminding users to pay attention to key issues such as AI security, rate limits, and data security.

An MCP server for learning purposes, providing weather information and running in SSE mode.

The LinkedIn Model Context Protocol (MCP) server provides functions for automated interaction with LinkedIn through a standardized JSON - RPC interface, including job search, resume generation, cover letter writing, and job application management.

This is a server based on the Model Context Protocol (MCP) that allows AI assistants to control the Unreal Engine game engine through the remote control API, enabling game development automation. It supports various functions such as asset management, actor control, editor operations, level management, animation physics, visual effects, and Sequencer control.

An intelligent management server for Yahoo Fantasy Football based on the Model Context Protocol, providing lineup optimization, draft assistance, and league analysis functions, supporting multi - league management and real - time data enhancement.

The Internet Search MCP is a service encapsulated based on Tencent Cloud's Internet Search API, providing intelligent search capabilities with millisecond - level response and minute - level updates, supporting multiple functions such as natural result retrieval and multi - modal VR cards, helping developers quickly integrate Internet search capabilities.

FastMCP - Scala is a high - level, developer - friendly library based on Scala 3 for building Model Context Protocol (MCP) servers. It provides ZIO effect handling, annotation - driven APIs, automatic JSON schema generation, and seamless integration with the Java MCP SDK.

An MCP server that integrates with Lexware Office (formerly Lexoffice), providing an interface for managing business operations through the model context protocol.

An automatic commit message generation tool based on Git change analysis, leveraging OpenAI's GPT model to generate standardized commit information for code changes.

The ConsultingAgents MCP Server is a multi - model consulting agent server that provides four AI expert consulting services (Darren, Sonny, Sergey, Gemma) for Claude Code through the MCP protocol, supporting code analysis, document search, and repository - level development planning.

The Wrike MCP server is a lightweight implementation used to connect the Wrike project management platform with language learning models (LLMs), providing API interfaces for task querying, comment adding, task creation, etc.

SMCP Proxy is a reverse proxy designed for Model Context Protocol (MCP) services, providing a security layer with OIDC authentication, supporting enterprise - level authentication and authorization, and simplifying standardized interactions with large language models (LLMs).

A server that provides Model Context Protocol (MCP) services for LeetCode, supporting AI assistants to access LeetCode problems, user information, and contest data.

This project provides a natural language interaction interface for MLflow through the Model Context Protocol (MCP), allowing users to query and manage machine learning experiments and models in English. It includes server - side and client - side components.

This project guides developers on how to integrate the MCP service with GitHub Copilot to extend the capabilities of the AI-assisted development workflow. Through less than an hour of learning, users will set up the GitHub MCP server, implement Copilot proxy mode integration, and complete the full process practice from issue research to code submission.

The OP.GG MCP Server is a server that implements the Model Context Protocol, providing a standardized interface for AI agents to access OP.GG game data and supporting data query functions for multiple games such as League of Legends and Valorant.

This project provides a unified interface for multiple ITSM systems (ServiceNow, Jira, etc.) through the Model Context Protocol (MCP), enabling LLMs to operate tickets and knowledge bases across systems without learning different APIs.

The XRPL MCP Server is a bridge connecting AI models with the XRP Ledger, providing a standardized API interface to access ledger data.

An XRP Ledger service server based on the Model Context Protocol (MCP), providing a unified interface for AI agents to interact with the XRPL MainNet, TestNet, and DevNet, supporting various blockchain services such as account management, token operations, NFT functions, DID, and AMM.

MCP Bridge is a lightweight, LLM-independent RESTful proxy for connecting to multiple Model Context Protocol (MCP) servers and exposing their functions through a unified REST API. It solves the problem that platforms such as edge devices, mobile devices, and web browsers cannot efficiently run MCP servers, and provides optional risk-based execution levels, including security controls such as standard execution, confirmation workflows, and Docker isolation.

The Volume Wall Detector MCP Server is a stock trading analysis tool based on the Model Context Protocol, providing functions such as real-time trading volume analysis, price level detection, and trading imbalance tracking, and supporting access from multiple MCP clients.

GUARDRAIL is a security framework specifically designed for the large language model (LLM) application ecosystem, providing comprehensive protection especially for the Model Context Protocol (MCP). It uses a multi - layer architecture, including an information gateway layer, a context verification layer, a request control layer, an execution isolation layer, and an audit monitoring layer, aiming to prevent data leakage, unauthorized access, and resource abuse. This framework emphasizes progressive adoption, allowing developers to gradually enhance security while maintaining high performance and ease of use.

An enterprise - level AI assistant system based on the Model Context Protocol, with intelligent server selection, text analysis, code review, sentiment analysis, and knowledge management functions, providing an aesthetically pleasing Web interface.

Ebook-MCP is an e-book processing server based on the Model Context Protocol (MCP), supporting EPUB and PDF formats, providing intelligent book management, interactive reading experience, and learning assistance functions to achieve natural language interaction with e-books.

This project implements a server based on the MCP protocol for querying the French legal database via the Legifrance API, supporting integration with large language models such as Claude and providing search functions for legal provisions, codes, and precedents.

The XRPL MCP Service is a model context protocol server based on FastAPI, providing comprehensive XRPL ledger interaction functions, including account query, transaction operations, decentralized exchange, and NFT management services.

Awesome MCP FastAPI is an enhanced Model Context Protocol (MCP) service implemented based on the FastAPI framework. It provides powerful tool registration functionality and automatic documentation generation, leveraging the mature FastAPI ecosystem to achieve high-performance AI tool integration.

LetzAI MCP is a model context protocol for image generation. Integrated through the Claude desktop application, it supports generating and upscaling images based on prompts.