# Tool Integration

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

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.

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.

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.

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 Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), providing dozens of powerful tool capabilities, including intelligent task delegation, document processing, browser automation, Excel operations, etc. It achieves cognitive enhancement and complex task orchestration of AI agents through standardized MCP tools.

This project demonstrates how to run n8n workflows in a local Docker environment, integrate an AI agent with external tools (such as web search) through the Model Context Protocol (MCP), and use npx to dynamically start the MCP service to achieve dynamic discovery and use of tools.

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

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.

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

This project demonstrates an example implementation of the Model Context Protocol (MCP), which is a standardized protocol for enhancing the capabilities of AI assistants and extending their functionality through custom tools and data sources. The project includes multiple MCP server examples, such as task managers, file explorers, and weather services, and provides guidelines on how to set up and use these servers.

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 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.

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

Fabric Atelier is a high-performance MCP server built on Rust and Apache Arrow, exposing over 200 Fabric AI patterns as executable tools to AI assistants, supporting semantic search and quick pattern discovery.

An LLM service framework based on YAML configuration

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).

This project guides you on how to build a client-host-server system based on the MCP protocol, including a FastAPI server, an MCP client, and an SSE streaming server. It enables the interaction of resources, tools, and prompts and supports integration with the Claude desktop application.

This project demonstrates how to build a remote MCP server on Cloudflare Workers, including the OAuth login function, and supports connection and use through the MCP inspector and Claude desktop client.

mcpn.ai is a tool that helps users create, organize, and share AI workflows and prompts. It is similar to a dynamic prompt library that can be shared and version - controlled across MCP tools and servers.

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

This project sets up an MCP - compatible terminal server on the Windows system to enable communication between external tools and Claude - AI, supporting the execution of Shell commands in the specified workspace.

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

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

An example project of building an MCP server based on Spring AI

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.