# Tool integration

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.

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

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.

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.

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.

StatusNow.Dev provides a comprehensive website and server monitoring solution, including SSL/domain expiration monitoring, website availability, response time, etc.

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.

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

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 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.

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.

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.

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.

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

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.

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.

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.

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.

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.

This project demonstrates how to use FastMCP to implement a Multi - Channel Protocol (MCP) server, including tool registration, server/client usage examples, and integration with Claude Desktop and the MCP Inspector.

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.

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

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.

AI-based image explanation generation service