# 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.

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.

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.

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

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.

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.

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.

LetzAI MCP is a model context protocol for image generation. Integrated through the Claude desktop application, it supports generating and upscaling images based on prompts.

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 that connects to the Pounding The Rock RSS feed, providing AI assistant access to the latest game results and blog articles of the Spurs

Scraper.is MCP is a web scraping tool integration package based on the Model Context Protocol, enabling AI assistants to access the latest web content through the MCP protocol.

A remote MCP server project based on Cloudflare Workers, supporting OAuth login and integrable with MCP Checker and Claude desktop applications.

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 the Claude desktop client.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers and implement OAuth login. It supports local development and debugging, connection testing via the MCP inspector, integration with the Claude desktop client, and finally deployment to the Cloudflare cloud.

A modular computing platform server that provides SEC EDGAR data access and interaction for AI agents.

This project demonstrates how to build a remote MCP server on Cloudflare Workers, including OAuth login functionality, and supports connection and use via the MCP Inspector and Claude desktop application.

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 for using math tools and other features.

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

This is an AI development tool project based on Docker containers. It uses Markdown files to write complex workflows, combines Dockerized tools with the LLM model selected by the user, and implements a workflow of multi - model agents and project - priority design.

An MCP service that provides Gemini 2.0 Flash image generation for Roo Code

This project enables querying Dataverse environments using SQL via the MCP protocol, supports AI tools such as GitHub Copilot and Claude Desktop, and provides two installation methods: the dotnet tool and Docker container.

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.

The Solana Agent Kit MCP Server is a server based on the Model Context Protocol that provides a standard interface for Claude AI to interact with the Solana blockchain, supporting blockchain operations such as transaction execution, account query, and wallet management.

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

The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

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.

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.

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

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 Linkup MCP Server is a server based on the Model Context Protocol, providing real-time web search and web page content scraping functions through the Linkup API, enabling AI assistants to access the latest information on the Internet.