# Tool Integration

JEBMCP is a project that combines JEB and MCP tools, aiming to simplify reverse engineering tasks through Python scripts and provide efficient code analysis and operation functions.

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, can be connected through the MCP Inspector or Claude desktop client, and provides capabilities such as mathematical tools.

This project provides a localized implementation of MCP (Modular Computing Protocol), including a server and a client. The server offers 28 computing tools (mathematical operations, string/image processing, Pinta automation, etc.), and the client interacts with the server through the protocol to call these tools. The project uses uv to manage dependencies and supports rapid deployment and local testing.

An MCP server implementation based on .NET 9.0, providing communication protocols and tool integration for model-driven systems.

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 guides you on how to deploy to Cloudflare and access it remotely.

This project is a setup guide for a Claude - compatible MCP server based on Python and FastMCP, supporting Windows and macOS/Linux systems, providing tool and resource management functions.

MCP is a Python service framework that supports quickly creating local or HTTP services through tool functions and provides multiple running modes and client interaction modes.

Portkey's Model Context Protocol (MCP) server implementation for connecting AI tools and services. Supports Docker, binary, and source code installation, provides SSE and stdio transport modes, and can be integrated with Cursor IDE and Claude Desktop.

The Fastn server is a powerful and scalable platform that supports dynamic tool registration and execution based on API definitions, integrates multiple services, and provides a unified solution.

Ultra-MCP-Servers is an open-source project that enables users to create and manage their own Model Context Protocol (MCP) servers. It offers a variety of tool and service integrations, such as YouTube transcription, cloud storage, web crawlers, etc., and encourages community contributions.

A local server project based on the MCP protocol, supporting custom tool integration

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 mathematical tools. Finally, a complete process for deploying to Cloudflare is provided.

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

This project is an MCP server gateway hub used to centrally manage multiple MCP servers and integrate tool functions, avoiding repeated configuration and running of server processes for each LLM client. It supports dynamic configuration reloading and provides services for all managed servers and hub tools through a single interface.

The Gentoro MCP Server is middleware designed for Gentoro services, allowing agents such as Claude to interact with underlying functions through the Gentoro bridge, supporting dynamic integration and management of tools.

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 mathematical tools. Finally, it 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 for using mathematical tools and other functions.

The GoldRush MCP Server is a service based on the Model Context Protocol (MCP) that exposes Covalent's GoldRush API as MCP resources and tools, enabling LLM clients to call blockchain data query and analysis 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 through the MCP inspector, and integration into the Claude desktop application to call mathematical tools. Finally, it provides a complete process for deployment to Cloudflare and remote connection.

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 mathematical tools. Finally, it provides a complete process for deployment to Cloudflare and remote connection.

The MCP Protocol SDK implemented in TypeScript for building standardized services interacting with LLMs

HydraMCP is a lightweight and scalable network security toolkit that connects AI assistants with security tools through the Model Context Protocol (MCP), supporting AI - assisted security research, scanning, and analysis.

A modular server implementing the Model Context Protocol standard, providing integration services for multiple tools.

A modular server that implements the Model Context Protocol standard, providing integration of multiple tools and unified gateway access.

ACI.dev is an open-source AI agent tool infrastructure that provides multi-tenant authentication, permission management, and dynamic discovery functions for over 600 pre-integrated tools. It supports calls through a unified MCP Server or a lightweight SDK, simplifying the development of production-level AI agents.

A remote MCP server project based on Cloudflare Workers, supporting OAuth login and integrable with MCP Checker and Claude desktop applications.

A full-stack web application based on FastAPI that provides a dual AI assistant experience (chatbot and tool-based agent), supports user authentication, real-time chat, history records, and file analysis, and can be deployed on Heroku.

An MCP server template based on TypeScript, providing example operations and an addition tool for communication between AI models and external tools.

Documentation for the integration of the Unreal Engine Model Context Protocol (MCP), helping to understand, set up, and use the MCP system.

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 with the Claude desktop application to use mathematical tools.