# AI tools

This project implements an API server that complies with the MCP protocol for searching the PRIDE Archive proteomics database and supports AI models to interact with proteomics datasets through structured function calls.

The X (Twitter) MCP server is a protocol server for interacting with Twitter through AI tools, supporting functions such as getting tweets, posting tweets, searching on Twitter, and managing followers. It uses Twitter API v2 for secure authentication.

Awesome - MCP - ZH is a collection of MCP (Model Context Protocol) resources tailored for Chinese users, including basic introductions, usage guides, client, server, and community resources to help users quickly get started with MCP.

The Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-built servers, enabling large language models (LLMs) to access tools and data sources securely and controllably. The project includes implementations of various functional servers, covering areas such as file systems, databases, search, and API integration, and supports development with TypeScript and Python SDKs.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It provides a local development guide, a method for connecting with the MCP Inspector, a solution for integrating with the Claude desktop client, and a complete process for deploying to Cloudflare.

An MCP server that supports multiple tool providers, providing a standardized interface for AI models to use tools from different service providers.

This project is a tool for running a Model Context Protocol (MCP) server. It encapsulates the functions of the CodeQL query server and supports interaction with CodeQL through structured commands and document search.

A cryptocurrency news MCP server based on NewsData.io, providing functions such as real-time news acquisition, keyword search, and news summary generation.

An MCP server project that enables Claude to directly access the documentation of popular libraries such as LangChain, LlamaIndex, and OpenAI, search through the Serper API and parse content using BeautifulSoup to enhance the AI's context understanding ability.

An MCP server implemented in TypeScript that provides access and operation support for shadcn/ui components to AI assistants, including obtaining source code, sample code, and installation guides.

Quick-start Auto MCP is a tool that helps users quickly register the Anthropic Model Context Protocol (MCP) in Claude Desktop and Cursor. It provides functions such as RAG document search, Dify workflow, real-time web search, and supports one-click generation of JSON configuration files.

The SurrealDB MCP Server is a server that provides a standardized interface for AI assistants to interact with the SurrealDB database, supporting data querying and operations.

The 302AI Sandbox MCP Server is a secure code sandbox service that allows AI assistants to execute arbitrary code, supporting multiple modes and dynamic tool loading.

PyPI MCP Server is a middleware that provides PyPI package information query services for AI assistants. It enables functions such as searching for Python packages, accessing metadata, viewing version history, and getting download statistics through the MCP protocol.

Example project for implementing Spring AI tools

An MCP server that connects AI assistants with Go language analysis tools

MCP Marketplace is a platform that centrally displays and distributes MCP (Model Context Protocol) servers. Users can submit their own MCP servers and install them with one click through Cline. This platform aims to simplify the discovery and deployment process of MCP servers, support submission through GitHub repositories, and provide detailed installation guides.

Repomix is a tool that packages codebases into an AI - friendly format, supporting local and remote repository handling, providing code compression, security checks, and multiple output formats.

An MCP (Model Context Protocol) server and client project based on FastMCP and LangChain, including installation dependencies and operation guides.

Supergateway is a tool used to convert MCP servers based on standard input and output into services accessible via SSE or WebSocket, facilitating remote debugging and integration.

An MCP server based on the Jina AI API, providing web content scraping and semantic search functions, supporting Docker deployment and Claude desktop integration.

The MCP API is a watermark removal service for Sora2 videos based on the model context protocol. It can be quickly integrated into mainstream MCP-compatible tools such as Claude Desktop and OpenAI, and can intelligently remove video watermarks through simple API key authentication.

Convert AI skills in Claude Skills format to MCP server resources, enabling LLM applications to access these skill tools through the model context protocol.

An MCP server that provides any AI model with the ability to intelligently search for Claude Agent Skills through vector embeddings and semantic similarity, enabling progressive skill discovery and cross-platform skill sharing.

A lightweight MCP server that enables intelligent skill matching through the FunctionGemma model, allowing AI agents to acquire dedicated skills on demand and avoiding context window overload.

This is an Android MCP toolkit designed for AI agents, providing tools such as SVG to VectorDrawable conversion, ADB log reading, UI automation, and text length estimation, aiming to efficiently connect the Android development process with AI agents.

An MCP server designed for Kintone, supporting exploration and manipulation of Kintone data through AI tools such as Claude Desktop.

Firecrawl MCP is a model context server extension for the Zed AI Agent, supporting the configuration of the Firecrawl service through an API key and integration into the Zed assistant mode.

Kontxt MCP Server is a codebase context analysis service based on the Gemini model, providing codebase understanding tools for AI clients and supporting multiple transport protocols and context attachment functions.

MCP integration for UploadThing, supporting AI assistants to upload files via the MCP protocol.