# Tool Integration

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

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.

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

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.

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.

Modex is a Clojure library that implements the Model Context Protocol (MCP) for building MCP servers and clients, providing AI models with the ability to extend tools, resources, and prompts. It supports communication via standard input and output (stdio) without additional proxy conversion, and is suitable for enhancing AI functions such as database queries.

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.

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

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.

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.

This project is a collection of various Model Context Protocol (MCP) servers used to extend the capabilities of AI assistants, supporting the direct use of external tools and services in Claude conversations.

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 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.

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.

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.

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.

The MCP server is used to store and call programming rules, prompts, etc. on demand, helping developers share specifications across different projects and IDEs

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.

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 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.

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.

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 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.

A production-grade starter template for an MCP server based on TypeScript, providing rapid development tools and a standardized workflow.

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.

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

This project provides multiple Model Context Protocol (MCP) services for extending AI assistant capabilities and supports standalone installation and use.

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).