# 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.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and achieve secure access through OAuth login. It supports local development and debugging, connection with the MCP checker and the Claude desktop client, and can finally be deployed to the Cloudflare cloud.

This project provides a configuration guide for integrating OWASP ZAP as a man-in-the-middle proxy server with SQLMap for legal security testing and vulnerability assessment. It includes quick setup scripts, manual installation instructions, advanced configuration rules, and usage examples.

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.

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.

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.

Letta MCP Server is a model context protocol service implementation for interacting with the Letta API, providing agent management, memory block operations, and tool management functions.

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.

A TypeScript bridge project connecting local LLMs to MCP servers, providing a web interface that enables open-source models to use tool capabilities similar to Claude, supporting functions such as file system operations, web search, and complex reasoning.

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.

An MCP protocol server written in Scala 3, supporting multiple tool functions.

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.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that cover a variety of tools and integrations, including browser automation, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, file systems, fintech, knowledge and memory, location services, monitoring, search, security, travel and transportation, version control, etc. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers.

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 use the Model Context Protocol (MCP) to integrate local and remote tools in the AutoGen framework, including a local mathematical calculation server and a remote Apify web browsing tool. It enables flexible interaction between AI agents and tools through a standardized protocol.

A basic MCP server project that can be integrated with tools such as Cursor to provide services like weather queries.