# Tool integration

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection testing through MCP Inspector, and integration into the Claude desktop application for using mathematical tools.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including OAuth login functionality, supporting local development and cloud deployment, and enabling integration with the MCP inspector and the Claude desktop application.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection testing through the MCP Inspector, and integration into the Claude desktop application to invoke mathematical tools. Finally, it also provides a complete process for deploying to Cloudflare.

AWorld is a multi - agent system framework aiming to bridge the gap between theoretical MAS capabilities and practical applications, providing a full - set solution from single - agent to multi - agent collaboration/competition. The project supports scenarios such as browser/mobile operations and GAIA benchmark testing, adopts a client - server architecture, integrates a rich toolchain, and includes performance evaluation and training functions.

This project provides a series of Model Context Protocol (MCP) servers for enhancing the external capabilities of AI assistants, including independent implementation modules for specific functions such as educational course queries.

The plugged.in App is a comprehensive web application for managing Model Context Protocol (MCP) servers, providing a unified interface to discover, configure, and use AI tools across multiple MCP servers. It supports multi - workspaces, an interactive testing platform, tool management, resource discovery, etc., can be integrated with various MCP clients, and supports self - hosted deployment.

The MCP startup project is an AI application development framework that includes a Python server - side and a TypeScript client - side, supporting the interaction between AI models and external tools/APIs, and providing functions such as document search and conversation management.

Pro MCP is a community-driven directory of Model Context Protocol (MCP) servers, aiming to provide a comprehensive list of MCP servers for developers and AI enthusiasts and promote the development of intelligent applications.

A developer helper tool named COCO that provides code review and pair programming assistance functions, and can help developers improve code quality through questions.

MCPAdapt is an open - source project aiming to seamlessly integrate the tools of over 650 MCP servers into various agent frameworks, enabling developers to easily use these tools in their agent workflows.

AI-based image explanation generation service

click-mcp is a Python library that extends Click applications through Model Context Protocol (MCP) support, enabling AI agents to interact with CLI tools.

The Agentic MCP Client is an independent AI agent runner that interacts with models such as Claude, BedRock, and OpenAI through MCP protocol tools, supporting autonomous cloud operation and secure system interaction.

MCP-Bridge is a bridge connecting the OpenAI API and MCP tools, allowing developers to use MCP tools through the OpenAI API interface, supporting non-streaming and streaming chat completions, tool calls, and other functions.

This is a service implementation based on the Model Context Protocol (MCP), building AI tool services through the tool capabilities provided by the Integration App platform.

MCPilot is an AI chatbot that integrates real-time tools (such as DuckDuckGo, Airbnb, and weather APIs), providing context-aware real-time queries and task assistance through the Gradio front-end and GROQ backend.

An MCP server project based on the SWAPI Star Wars API, providing query functions for Star Wars character, planet, movie, etc. data, supporting automatic pagination and cache management, and can be integrated with tools such as VS Code.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection testing through the MCP Inspector, and scenarios such as integrating the Claude desktop application to call mathematical tools. Finally, it can be deployed to the Cloudflare cloud service.

VeyraX MCP is an open protocol tool that enables multi-platform tool integration through a single connection, supporting seamless use of connected tools in environments such as Claude and Cursor.

The MCP LLM Bridge is a bridging tool that connects the Model Context Protocol (MCP) server with OpenAI-compatible LLMs. It enables bidirectional protocol conversion between MCP and the OpenAI function call interface, supporting both cloud and local model calls.

The Gentoro MCP Server supports Gentoro services, enabling Claude to interact with the Gentoro Bridge and its underlying functions.

The Gentoro MCP server supports the Gentoro service, enabling Claude to interact with the Gentoro bridge and its underlying functions. Users can create and manage tool bridges through their Gentoro accounts and integrate them into agents such as Claude via API keys.

A lightweight MCP server implementation that exposes custom tools via SSE for AI client integration.

A web - based dialogue agent based on multiple large language models (such as Google Gemini, Anthropic Claude, etc.), which implements multi - step tool execution through the Vercel AI SDK and can interact with external services (such as WhatsApp, GitHub, etc.).

An independent implementation of the IOG Model Context Protocol (MCP) server that provides tool registration and data retrieval functions and supports integration with the Windsurf system.

This project is a collection of MCP tools for Claude, including three servers for news search, Wikipedia query, and data analysis, used to extend Claude's capabilities.

This project demonstrates how to integrate OpenAI, Azure OpenAI, and GitHub models through the MCP protocol to build a terminal application for a TODO list agent. The project includes three major components: MCP host, client, and server, supports HTTP and SSE protocols, and provides tool invocation and database storage functions.

mcpo is a simple and easy-to-use proxy tool that can quickly convert any MCP tool into an OpenAPI-compatible HTTP server, enabling access through standard RESTful interfaces and facilitating integration with LLM agents and applications.

The MCP server project provides a standardized communication protocol for tool - agent integration, facilitating AI applications to quickly invoke various tool services.

The Qwen MCP Manager is a tool for managing other MCP servers, supporting the quick addition and management of MCP services such as Playwright through JSON configuration