# AI Tools

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.

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.

A powerful implementation of the Model Context Protocol (MCP) server that integrates multiple tools such as GitLab, Jira, Confluence, and YouTube, providing AI - driven search capabilities and development workflow tools.

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 Claude desktop client.

Aiven's MCP server project provides access to services such as PostgreSQL and Kafka in the Aiven ecosystem, enabling LLMs to build full - stack solutions. It includes tools such as project lists and service details, and supports connection configuration through environment variables.

The OpenAI WebSearch MCP Server provides web search functionality for AI assistants through the Model Context Protocol, supporting the acquisition of the latest information during conversations.

The Edge Delta MCP Server is a server based on the Model Context Protocol, used for seamless integration with the Edge Delta API, enabling developers to build automation tools and AI applications to analyze observational data.

A Python-based D&D 5e knowledge navigation server that connects AI assistants with the Dungeons & Dragons game data API through the Model Context Protocol (MCP)

Implementation of Verodat's MCP Server, providing data management integration capabilities for AI systems

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

The promptz.dev MCP server provides the function of directly accessing prompts on the promptz.dev platform from an AI assistant, reducing context switching in development.

The OpenAlex MCP Server is an open - source project that implements the Model Configuration Protocol (MCP) to provide structured access to global academic literature for AI assistants.

The Crawl4AI MCP Server provides web page scraping and crawling functions for Cursor AI and is integrated into the Composer proxy mode.

NexusHub is a unified MCP server designed for the Claude AI tool, offering various functions such as file system access, database operations, vector search, and GitHub integration. It supports both HTTP and stdio protocols and includes a modern dashboard interface.

An MCP server based on the Perplexity AI API, providing web search functionality for the Claude desktop client.

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.

rag - mcp is an over - designed retrieval - augmented generation system that provides multiple text search modes (semantic search, question - answer search, style search) through a Python server. It uses PostgreSQL and pgvector to store text embedding vectors, supports interaction with AI agents, and has a complex but scalable architecture.

The MCP S3 File Manager is a tool for uploading, downloading, and managing Amazon S3 files via the Model Context Protocol (MCP), designed specifically for AI assistants and workflows.

A Go language SDK for building Model Communication Protocol (MCP) tools, providing basic components for implementing MCP-compatible tools, which can be integrated with AI applications such as the Cursor IDE.

Implementation of the Claude Text Editor MCP Server

SearchAPI-MCP-Server is a search API server based on the MCP protocol, providing a standardized access interface to services such as Google Search, Maps, Flights, and Hotels, serving as a bridge between AI assistants and search services.

This is a simple Steampipe MCP server that serves as a bridge between AI models and the Steampipe tool.

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 checker and Claude desktop client.

Klavis AI is an open - source project that provides a multi - functional computing platform (MCP) for use on Slack, Discord, and web pages. It allows non - technical users to easily configure AI workflows, and developers can expand and build on it.

An MCP protocol server that provides MySQL database operations, allowing AI models to interact with MySQL databases through a standardized interface.

A NestJS module for easily exposing AI tools, resources, and prompts via the Model Context Protocol (MCP), supporting multiple transport types and automatic discovery and registration functions.

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.

The Filesystem MCP Server is a Node.js-based filesystem tool server that follows the Model Context Protocol (MCP), providing AI agents with secure and efficient file access capabilities. It ensures operation security by limiting the project root directory, supports batch operations to reduce communication overhead, and offers rich file management functions such as reading, writing, editing, searching, and permission management.

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.