# AI Tools

The MCP-Express-Adapter is a lightweight middleware for creating MCP (Model Context Protocol) servers on Express.js servers. It supports SSE communication, tool implementation, header-based authorization verification, and allows hosting multiple MCP client endpoints on the same Express server.

This project demonstrates how to build 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, integration with the Claude desktop, and finally deployment to Cloudflare for remote invocation.

MCP Twitter is a server based on the model context protocol, providing functions for direct interaction with Twitter/X and supporting various Twitter API operations.

Fujitsu's MCP server project for MAS development

The PubMed MCP Server is an interface service based on the Model Context Protocol, providing comprehensive access to the PubMed biomedical literature database for AI agents and research tools. It supports functions such as literature search, metadata acquisition, citation analysis, research plan generation, and data visualization, and is efficiently integrated through the NCBI E - utilities API.

An MCP server implementation based on Go language, integrating the Grafana Tempo distributed tracing system, providing a tool interface for AI assistants to query and analyze tracing data. It supports two communication modes: standard input/output and HTTP/SSE, and can be connected to AI clients such as Claude Desktop.

A TypeScript-based MCP server template that provides sample operations and an addition tool for communication between AI models and external tools.

Implementation of the Claude Text Editor MCP Server

The combination of Gemini CLI and the MCP server built with Google Apps Script extends the automation capabilities of Google Workspace through a low - code platform, providing support for 41 tools covering services such as Gmail, Drive, Calendar, etc., and enabling multi - step execution of complex tasks.

ReActMCP Web Search is an MCP server integrated with the Exa API, providing real-time web search functionality for AI assistants, supporting basic search and advanced filtering options, and returning results in Markdown format.

The Verodat MCP server implements the model context protocol and provides a toolset for AI systems to seamlessly integrate with Verodat's data management capabilities.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function, supporting connection and use through the MCP Inspector and the Claude desktop client.

This project is an MCP server for deploying code to Google Cloud Run, supporting deployment through AI agents, IDEs, and assistant applications.

This project demonstrates how to set up 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.

Ref MCP is a Model Context Protocol server that provides AI programming tools or agents with access to documentation for APIs, services, libraries, etc. It is a one-stop solution to keep agents updated on documentation in a fast and token-efficient manner.

Snippy is an intelligent code snippet management service based on Azure Functions. It uses the MCP protocol to interact with tools like Copilot, supporting functions such as code snippet storage, search, and AI 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, and the service can be connected via the MCP inspector or the Claude desktop application, and finally deployed to the Cloudflare cloud.

A powerful MCP server that provides web search and similar content search functions, supporting integration with Claude Desktop

This project demonstrates how to implement a Model Context Protocol (MCP) server supporting Retrieval Augmented Generation (RAG), providing functions for knowledge base interaction, information retrieval, and document management.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, includes OAuth login functionality, and supports connection and use through the MCP checker and the Claude desktop client.

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 via the MCP Inspector, and allows the Claude desktop client to call the MCP service.

A multi-API-based image search and icon generation service, designed specifically for the Cursor IDE, providing image search, download, and AI-generated icon functions

MCPSharp is a .NET library for building servers and clients compliant with the MCP protocol. It supports quickly converting .NET methods into tool functions callable by AI models and provides integration with Microsoft.Extensions.AI and Semantic Kernel.

The OpenCV MCP Server is a Python - based computer vision service that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). It offers a full set of computer vision tools from basic image processing to advanced object detection for AI assistants and language models, including image processing, edge detection, face recognition, video analysis, and real - time object tracking.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality, supporting connection and use through the MCP inspector and the Claude desktop application.

This project implements a GitHub code search tool through the Model Context Protocol, providing a standardized external service interaction interface for AI assistants, including functions such as code search and repository viewing.

hyper-mcp is a high-performance MCP server based on WebAssembly plugins, supporting plugin distribution through container registries and suitable for various AI application scenarios.

The Vidu MCP Server is a server based on the Model Context Protocol, used to interact with the Vidu video generation API, providing functions such as image - to - video conversion, generation status check, and image upload.

Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers, enabling large language models (LLMs) to securely and controllably access tools and data sources. The project includes server implementations with various functions, such as file system operations, database access, Git management, Slack integration, etc., and supports TypeScript and Python SDKs.

The Ollama MCP Server is a bridge tool that connects the local large language models of Ollama and the Model Context Protocol (MCP). It provides complete API integration, model management, and execution functions, and supports OpenAI - compatible chat interfaces and visual multimodal models.