# Tool integration

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 MCP portal is the official community platform for the Model Context Protocol, providing resources such as documentation, practical guides, server implementations, and tool integrations. It supports AI models to access external tools through the MCP protocol, covering a wide range of scenarios from database connections to multimodal applications.

This project includes the Cloud Security Alliance model context protocol servers, covering various functional modules and service interfaces, including multiple useful tools imported from Anthropic and chat services provided by CSA.

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 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 TypeScript, supporting custom tools and integration with hosts such as Cline

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.

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.

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 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.

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

Glasses MCP is a tool that provides web page visual capabilities for AI assistants, allowing AI to obtain visual information of web pages through screenshots, supporting multiple devices and formats.

This project is a collection of reference implementations for the Model Context Protocol (MCP), including MCP server implementations for various tools and services, aiming to provide secure and controllable access to tools and data sources for large language models (LLMs).

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.

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.

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 integrating the Claude desktop client into the MCP service for math tool calls. Finally, it provides a complete process for deploying to Cloudflare and remote connection.

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.

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.

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

AI-based image explanation generation service

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

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.