# Tool Integration

Flux is an AI-based AO tool call enhancement system that enables AO code execution and custom blueprint creation through natural language, supports integration with existing AI development tools, and provides code testing functions.

An LLM service framework based on YAML configuration

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

An MCP server implementation based on Ruby 3.3, providing greeting and calculation tools, supporting Cursor integration and background operation.

Skynet - MCP is a hierarchical AI agent network project based on the Model Context Protocol (MCP), supporting the creation of sub - agents to process complex tasks in parallel, integrating multiple AI models and service tools, and providing functions such as dual - mode operation, tool discovery, and asynchronous execution.

MCP is an open-source AI-driven penetration testing framework that integrates multiple security tools, analyzes their outputs in real-time, strictly follows the standard penetration testing process, and provides intelligent assistance to security testers.

Laravel MCP is a package for implementing the Model Context Protocol (MCP) in Laravel applications. It provides a standardized communication interface between AI models and Laravel applications, supporting multiple transmission methods and rich functional features.

A Model Context Protocol (MCP) implementation in Haskell, supporting interaction with clients such as Claude through StdIO and JSON-RPC, and providing resource, tool, and prompt management functions.

A simple implementation of the Model Context Protocol (MCP) server, demonstrating basic functions such as resource handling, prompt management, and tool execution, including TypeScript support and built - in testing.

The Letta MCP Server is a server toolset that provides agent management, memory operations, and Letta system 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.

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

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

MCP Client is an open - source library for connecting any LLM to an MCP server in TypeScript/Node.js, supporting the construction of custom proxies with tool access rights.

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.

A Node.js client for integrating remote MCP servers to provide tool support for Voiceflow agents, supporting multiple tool discoveries and Claude AI integration.

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

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.

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.

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).

A Model Context Protocol (MCP) tool for interacting with Polymarket via the Claude desktop application

MCP Ahrefs is an MCP server project based on the SAAGA framework, providing tool integration, exception handling, logging, and parallel processing functions, and supporting interactive testing through clients such as Claude.

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

This project demonstrates how to build a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports the full process of local development and debugging, connection testing through the MCP Inspector, integration with the Claude desktop application, and final deployment to the Cloudflare platform.

The Toolhouse MCP Server is an MCP protocol server built on the Toolhouse platform and Groq API, allowing MCP clients to connect and use the Toolhouse tool library to enhance functionality.

This project provides two types of MCP servers for accessing functional tools managed by ACI.dev: the apps-server provides access to tools for specified applications, and the unified-server provides functions for discovering and executing all available tools.

This project provides a server and client system based on the MCP protocol for obtaining research papers from arXiv. The server processes queries and retrieves relevant papers, and the client interacts with the server through the Streamlit interface, integrating tools such as LangChain and Groq to enhance query processing capabilities.