# Tool Integration

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

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

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.

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

The MCP Agent Server is a hub platform that connects AI clients with intelligent agents, supporting the creation of multi - specialized agents, combined agent workflows, and the integration of various AI tools and services.

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.

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. It supports local development and debugging, connection testing through the MCP Inspector, and finally integrates with the Claude desktop application after deployment to Cloudflare for remote tool invocation.

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

Voxta MCP Bridge Provider, enabling communication between Voxta and MCP protocol servers, supporting feature expansion through external tools.

This project is an MCP server based on Node.js that provides addition of numbers and environment variable reading functions and supports integration with AI development tools (such as Cursor AI).

The Kali MCP Server is an AI-driven network security testing platform that integrates over 55 professional security tools and supports multiple AI interfaces for intelligent penetration testing and vulnerability discovery.

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 is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

This project demonstrates how to use the MCP protocol to interact with OpenAI, Azure OpenAI, and GitHub models in Azure container applications. It provides a simple terminal application demonstration to interact with the to - do item agent through the toolset provided by the MCP server.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), offering dozens of powerful tool capabilities, including cognitive enhancement, tool usage, and intelligent orchestration. The system exposes functions through standardized MCP tools, enabling advanced AI agents to access a rich tool ecosystem and specialized services while optimizing costs, performance, and quality.

Flutter Inspector is an MCP server that connects Flutter applications with AI programming assistants, providing functions for debugging and inspecting Flutter applications.

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

The Perplexity MCP Server is a Node.js - based server that implements Anthropic's Model Context Protocol (MCP) to connect Claude with Perplexity's language models and provides enhanced AI interaction tools. It supports two main tools: advanced chat completion and a simplified single - query interface.

This project is a collection of reference implementations of 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).

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

The Model Context Protocol (MCP) is a standardized protocol introduced by Anthropic for the interaction between large language models (LLMs) and external tools and functions, as well as for injecting context into LLMs. It enables models to request real-time information, perform operations in external systems, access professional knowledge bases, and interact with APIs and services. The MCP is similar to a USB hub, serving as a standard interface that reduces the risk of API changes because each MCP server is maintained by its own company, and users only need to integrate it. The MCP server provides three functions: tools, resources, and prompts.

A TypeScript project integrating Langchain and MCP tools, supporting interaction with language models through a chat interface and execution of various tools.

A horizontally scalable implementation of the MCP server

This project showcases an MCP server and client built with Rust, communicating via SSE and integrating a simple addition tool. The project includes the complete process of MCP server setup, tool registration, integration with the RIG agent, and interaction through the MCP inspector.

This project is a proof-of-concept MCP server, aiming to replace the traditional stdio process management method with WebSocket network communication, simplifying the usage and configuration process of the MCP server.

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.

The MCP Server is a server that implements the Model Context Protocol, supporting standardized interaction between large language models and external tools and services, providing support for multiple tools, RESTful APIs, and automated documentation.

The Gentoro MCP server provides interaction capabilities between AI agents such as Claude and the Gentoro bridge service, supporting tool integration and function control.

The Model Context Protocol (MCP) is an open-source protocol designed to enable Large Language Models (LLMs) to seamlessly interact with external tools, services, and data sources through a standardized interface, simplifying the integration process and expanding AI capabilities.