# Tool integration

aiohttp-mcp is a library based on aiohttp for building server tools compliant with the Model Context Protocol (MCP) standard. It supports asynchronous design and type hints, facilitating the rapid development of MCP services.

Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-developed servers, enabling large language models (LLMs) to securely and controllably access tools and data sources. The project includes various types of server implementations covering multiple domains such as file systems, databases, Git, and Slack, demonstrating the diversity and scalability of MCP.

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.

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 call math tools. Finally, it guides you on how to deploy to Cloudflare and access it remotely.

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.

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.

This project is a remote Model Context Protocol (MCP) server based on Node.js and TypeScript, deployed in Azure Container Apps, used to implement standardized communication between AI models and tools. It provides a quick start guide, supports local development, GitHub Codespaces, and Azure deployment, and includes SSE protocol implementation, SQLite database integration, and tool interaction features.

MCP-Agg is a multi-platform aggregation API service that provides a unified interface to access tools such as GitHub and Slack, simplifying workflows and improving efficiency.

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

The Toolhouse MCP server is an MCP protocol server built on the Toolhouse and Groq APIs, allowing MCP clients (such as the Claude desktop application) to connect and use multiple tools to enhance functionality.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including the entire process of local development, OAuth login, connection with MCP Inspector and Claude Desktop client, and deployment to Cloudflare.

This project demonstrates how to build 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 can be deployed to the Cloudflare cloud for remote client access.

A bridge project implemented in TypeScript that connects local LLMs to the MCP server, enabling open - source models to use Claude's tool capabilities

This project is a Python-based MCP server for integrating custom tools in AI-assisted development environments, providing addition operations and API key retrieval functions.

Gin-MCP is a zero-configuration Gin to MCP bridge library that automatically exposes existing Gin API endpoints as MCP tools for instant integration with MCP-compatible clients.

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

MCP gateway service for the Voitta library

GhidrAssistMCP is a powerful Ghidra extension that enables AI assistants and other tools to interact with Ghidra's reverse engineering capabilities through a standardized API by implementing a Model Context Protocol (MCP) server.

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

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

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, connection testing via the MCP Inspector, and integration into the Claude desktop application to call math tools. Finally, it provides a complete process for deployment to Cloudflare and remote connection.

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.

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 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

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.

A proof - of - concept project for a server implementing the Model Context Protocol (MCP), providing custom tools and resources to enhance the capabilities of AI assistants, including document search, web page crawling, and Google Search API integration.

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.

MCP Server is a server tool that simplifies the interaction of the Model Context Protocol (MCP), providing simplified APIs and a tool registration mechanism to help developers quickly build MCP-based services.

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.

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.