# AI tools

This project studies the MCP server deployment scheme used by the research team, including local development configuration and Kubernetes containerization deployment, and explores how to implement team - shared AI tool services.

GitHub Repo MCP is an open-source MCP server that allows AI assistants to browse GitHub repositories, explore directory structures, and view file contents. It supports MCP clients such as Cursor.

This project is a server based on the MCP protocol, specifically designed to check domain name availability through WHOIS queries and support the integration of domain name checking functionality into tools such as AI assistants.

MCP image extraction and conversion service, providing local/network image processing and Base64 encoding functions for AI assistants

The Web Browser MCP Server is a Python-based MCP protocol server that provides web browsing and content extraction functions for AI assistants.

A server based on the Model Context Protocol that integrates the ntfy push notification service, enabling LLMs and AI agents to send highly customizable notifications to devices.

An MCP server that transforms Cloudinary API functions into callable tools for AI assistants

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.

BrowserTools MCP is a powerful browser monitoring and interaction tool that realizes AI-driven browser data capture and analysis through a Chrome extension. It supports various audit functions such as accessibility, performance, and SEO, and seamlessly integrates with MCP-compatible clients.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, allows connection to the service through the MCP Inspector or Claude Desktop application, and is finally deployed to Cloudflare for remote client invocation.

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.

An MCP server template for building AI assistant 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.

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.

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.

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

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.

This project is an intermediate server that connects the Recurse Center API with AI tools, enabling AI assistants to query information about Recurse Center members, batches, and locations through the Model Context Protocol (MCP).

The OpenAPITools SDK is a multi - AI platform tool management library that provides a unified interface to support the integration and execution of tools for models such as Claude, GPT, and LangChain, and supports both local and API usage modes.

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.

Scrapezy MCP Server is an AI model service for extracting structured data from websites, supporting data scraping through tools such as Claude.

A Go language debugging service based on the MCP protocol that allows AI assistants to interactively debug Go programs through the Delve debugger.

The MCP project is a collection of message control protocol services for local AI applications, including a server and client modules for Git operation management.

A simple MCP client-server project implemented in Python, supporting direct tool invocation and LLM interaction based on OpenAI.

mcp - client - browser is a TypeScript library that provides MCP (Model Control Protocol) support for browsers, enabling seamless interaction with large language models.

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

A lightweight MCP server that retrieves relevant documentation content from popular AI libraries such as LangChain, LlamaIndex, and OpenAI by combining web search and content parsing, providing language models with the function of dynamically querying the latest documentation.

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.

A Model Context Protocol (MCP) server based on Supabase, which provides AI assistants with the ability to interact with Supabase databases through standardized tools, supporting database operations such as addition, deletion, modification, and querying.