# Tool integration

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.

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.

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 and testing through the MCP inspector, and integration into the Claude desktop application to call mathematical tools. Finally, it also provides a complete process for deploying to Cloudflare and remote connection.

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.

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.

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.

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.

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 is a FastMCP server that provides batch file and folder operation tools, including file reading and writing, creation, moving, deletion, and other operations. It supports batch calls to tools to improve efficiency.

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

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.

FastMCP is a TypeScript-based framework for building MCP servers that support client sessions. It provides the definition of tools, resources, and prompts, supports functions such as authentication, session management, image content return, logging, error handling, SSE communication, etc., and includes CLI tools for testing and debugging.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It provides a complete process guide for local development, MCP inspector connection, Claude desktop application integration, and cloud deployment.

MCP Mediator is a Java - based implementation of the Model Context Protocol (MCP) mediator, providing seamless integration between MCP clients and servers, supporting efficient communication and tool execution. The project includes core modules, examples, and various service integrations, supports quickly converting existing code into MCP services through annotations, and has the ability to proxy multiple servers.

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.

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

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.

mcpo-docker is a Docker image project that provides OpenAPI-compatible HTTP endpoints for MCP (Model Context Protocol) servers, facilitating integration with OpenWebUI.

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.

AI-based image explanation generation service

A tool project for subdomain enumeration. After being configured through OpenWebUI, commands can be used to perform subdomain scanning in the chat interface.

An MCP protocol server that provides access to the tools on the Toolhouse platform

A guide to converting a Robot Framework library into an MCP server. By adding specific functions and configurations, the library can run as an MCP service for client calls.

The MCP portal is the official community platform for the Model Context Protocol (MCP), providing documentation, practical guides, server implementations, tool integrations, interactive labs, and community resources. It supports AI models to access external tools through the MCP protocol, enabling various functions from web browsing to database access.

The project introduces the advantages of the MCP architecture in AI applications. By comparing single-server and multi-server clients, it shows how to efficiently connect mathematical and weather services and use the LangGraph ReAct agent for intelligent calculations.

An AI agent application based on Spring Boot and Spring AI, helping users book accommodation in tourist cities, supporting multiple AI models and tool integration.

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.

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.