# AI tools

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 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 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.

Example project for implementing Spring AI tools

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.

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.

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.

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.

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.

This project is an MCP client based on LangChain, used to demonstrate how to call MCP server tools through the LangChain ReAct Agent. It supports the LLMs of Anthropic, OpenAI, and Groq and provides the function of converting MCP tools to LangChain tools.

The RISKEN MCP server is a protocol server that provides RISKEN API integration, supporting automated data acquisition, scanning, and analysis, as well as building AI tool applications.

This is a simple PostgreSQL MCP server template project designed to help developers quickly build their own MCP servers. The project provides tools, resources, and prompt templates for interacting with the PostgreSQL database, supporting querying database content through natural language.

A TypeScript - based MCP server that integrates with the Metabase API, allowing AI assistants to access dashboards, questions, and database resources in Metabase and providing functions such as query execution.

Scraper.is MCP is a web scraping tool designed for AI assistants. It is integrated through the Model Context Protocol, supporting content extraction, screenshot capture from any website, and returning data in multiple formats.

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.

This project is a Mongo MCP server built on Spring Boot AI, used to connect to local MongoDB instances and expose database operations through callable tools, and supports testing through MCP clients.

This project provides a basic MCP server implementation, including simple examples, Docker containerization demonstrations, and automation scripts, supporting the rapid construction of custom MCP services and integration with systems such as Jira.

A community-developed Nasdaq Data Link MCP Server that provides access to financial and economic data through natural language interfaces and large language models.

A Wikipedia search service based on the MCP protocol, providing a structured interface for AI to access Wikipedia content.

This project demonstrates a disk usage query service based on the MCP protocol, allowing Claude AI to obtain real-time disk information of a Mac system through a local server and present it in a structured and user-friendly manner.

MCP Palette is a desktop application for managing Model Context Protocol server configurations, providing a centralized interface to configure, manage, and deploy MCP servers for large language models.

A production-ready MCP server template for hosting custom AI tools and prompt templates, supporting remote deployment and local operation, helping developers quickly build AI model interaction tools.

A Model Context Protocol server for integrating Ollama with MCP clients such as Claude Desktop

The Ragie Model Context Protocol server provides knowledge base retrieval capabilities