💻 编程开发 AI 工具

A service for AI agents to manage and track code review sessions.

FastAPI implementation for Gumloop API integration with async endpoints.

A server for fetching custom documentation in MCP.

Integration of Magicloops with MCP Server for enhanced functionality.

A Model Context Protocol(MCP) server for echo message

my-weather-mcp provides weather data through an MCP Server.

MCP-Server is a platform for managing and deploying Minecraft servers efficiently.

Python MCP Server supports STDIO, SSE, and Streamable HTTP connection modes.

Adapt the form to MCP

Building MCP Servers and Clients with Spring AI

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Convert any OpenAPI spec to MCP

MCP Server is a Flask-based tool to fetch GitHub user info via API calls.

Open-MCP-Server is a framework for integrating AI systems with enterprise applications via multiple protocols.

MCP-echo-server is a prototype that echoes user input for basic functionality testing.

A collection of reference implementations for Model Context Protocol servers, showcasing LLM access to tools and data.

An example MCP server implementing the model context protocol.

mcp-server demo

Layer2 MCP Server enables AI models to interact with Ethereum layer 2 for token management and transactions.

MegaMCP is a powerful server for managing Minecraft data and plugins.

MCP Crash Course

Uniswap MCP implements the Model Context Protocol for research and testing.

Apifox MCP Server enables integration with various MCP Clients using NodeJS.

Model Context Protocol (MCP) server for the Developer Overheid API.

An open-source toolkit for connecting AI agents to Move/Aptos protocols.

A Node.js server for managing Postman collections, mock servers, and API tests.

A Spring Boot example project demonstrating MCP server integration.

This multi-module project hosts a client code-generated from an OpenAPI derivative of the ResOs API combined with a Spring AI implementation. It also includes an MCP server, MCP client configuration for use with Claude and a standalone ReactJS powered chatbot UI.

This directory showcases various Model Context Protocol (MCP) servers. These servers enable Large Language Models (LLMs) to securely access tools and data sources from Microsoft Azure.

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# mcpx mcpx is the core project of a service aggregation platform built on the MCP (Model Communication Protocol) protocol, aimed at providing an efficient and flexible framework to support the integration of external services for large model AI. This project is dedicated to the standardization, optimization, and extension of the MCP protocol, offering smarter and more reliable service interaction solutions for AI applications.

It is a mcp-demo to extract smart contracs in solidity.

A Python project for running an MCP server and client.

mcp-host is a server for hosting MCP applications efficiently.

A Solana MCP server for managing limit orders and AI interactions.

MCP server for Magic UI components, providing AI with documentation and usage guidance.

Yapi MCP Server

A Go-based MCP Server that provides a simple calculator for adding integers.

An interactive learning platform featuring real-world case studies from major tech companies and AI-powered tools. Integrated with Model Context Protocol (MCP) enabling AI assistants to access project content, search through codebases, and provide intelligent learning recommendations through structured API interactions. In Development (WIP)

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Demo projects for the CA State Developer Talk on Semantic Kernel and MCP

MCP Compose is a tool for customizing MCP servers with a YAML config file.

A CLI for managing and chatting with MCP servers, supporting on-demand and long-running processes.

A demo repository for MCP greeting protocol

MCP Server for persistent shell command execution with background support.

A command-line agent using MCP to access tools and generate AI responses.

Make AI agent support coverity issue fix

Next.js ile oluşturulmuş MCP Server projesi

A simple MCP server that responds with 'It's Party Time' for time requests.

An MCP extension for Cursor that allows browser automation for UI testing, screenshots, and console error monitoring.