# AI tool

ExternalAttacker is an AI security tool that combines automated scanning with natural language processing. It provides external attack surface management and reconnaissance functions through the MCP protocol, supporting multiple scan types and tool integrations.

The Databricks MCP Server is a service based on the MCP protocol that allows LLM tools to interact with the Databricks platform, providing management functions for clusters, jobs, notebooks, etc.

MCP ECharts is a tool that dynamically generates Apache ECharts charts through AI, supports full - function ECharts syntax and multiple export formats, is lightweight and secure, and does not require remote services.

The Sci-Hub MCP service is a bridge connecting AI assistants with Sci-Hub's academic resources, providing functions such as paper search, metadata acquisition, and PDF download through the Model Context Protocol.

The PDF Reader MCP service provides AI agents with the ability to securely read the content (text, metadata, page count) of PDF files, supports local and remote PDF files, and is easy to integrate into the MCP environment.

An MCP server for easily generating images, supporting fal.ai and low-cost Hall of Fame features

A CLI tool that converts Markdown documents into an MCP server, enabling AI assistants to access and search document content.

An example of an MCP server based on SSE for obtaining weather forecasts and alerts for US states, supporting calls from AI Agents.

A PRIDE Archive search service project based on the MCP protocol, providing proteomics data query functions for AI models.

This project is a Python server based on the MCP protocol, providing functions for querying and calculating soil and water conservation technical specifications, including engineering calculations such as Manning's coefficient, earth pressure coefficient, drainage ditch flow velocity, and slope stability, as well as the conversion between latitude and longitude and UTM/TWD97 coordinates in Taiwan region. It is suitable for AI application integration.

A Word document operation server based on the MCP protocol, providing AI assistants with the ability to create, edit, and manage Microsoft Word documents.

The Nutritionix MCP Server is an API tool based on the MCP protocol, used to integrate Nutritionix's nutrition data and exercise calorie estimation functions into AI agents, supporting the query of food nutrition and exercise consumption through natural language.

This is a database operation server that supports MySQL and MongoDB, providing a standardized database interaction interface for AI models, including various database management tools and secure connection functions.

This project builds a web search tool through the Tavily API and the MCP protocol, which can provide real-time web search functionality for AI systems, supporting asynchronous processing and structured result return.

The MCP Manager GUI is a tool that simplifies MCP server management, providing a user - friendly interface, cross - platform support, real - time monitoring, and AI integration features.

The ArXiv MCP Server is a middleware that provides arXiv paper search and access services for AI assistants, implementing paper retrieval, download, and reading functions through the MCP protocol.

Smithery CLI is a command-line tool for managing Model Context Protocol (MCP) servers, supporting multiple AI clients and providing functions for installing, uninstalling, viewing, and running MCP servers.

An MCP service that provides real-time cryptocurrency data for Claude AI, obtaining market quotes, exchange information, and other data through the CoinMarketCap API.

The MCP server for YouTube video transcript extraction supports multi - language transcript acquisition, making it convenient for AI models like Claude to directly use video transcript content.

A mathematical calculation server based on the MCP protocol, providing basic mathematical tools such as addition, subtraction, multiplication, division, power operations, and logarithms, and supporting integration with Pydantic AI agents through Stdio transmission

The SuperFetch MCP server is a web content extraction tool based on the Model Context Protocol. It can intelligently crawl web pages, extract readable content using Mozilla Readability, and return it in an AI-friendly JSONL or Markdown format. It supports structured content blocks, built-in caching, and security protection.

An MCP server implemented with the Kagi search API based on Node.js, providing web search functionality for AI assistants, supporting parallel queries and formatted results.

emcee is a tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification, connecting applications such as Claude Desktop to external tools and data services.

StableMCP is a model context protocol (MCP) server based on JSON - RPC 2.0 for generating images through Stable Diffusion.

The MCP Internet Speed Test is an experimental project that provides network performance testing tools for AI models through the standardized MCP protocol, including functions such as download/upload speed, latency, and jitter measurement.

A Pixabay API service based on the MCP protocol, providing image and video search functions for AI models.

This is a Namecheap domain MCP integration project designed for Cursor AI, providing domain query, pricing acquisition, and registration functions. You can operate Namecheap domain services directly through the Cursor AI interface.

This is an MCP server developed for Claude AI, providing direct access to the NASA Astrophysics Data System. Users can search for papers, track citations, manage a literature library, and export references through natural language conversations, aiming to seamlessly integrate the astronomy literature database into the AI workflow.

A Japanese library information query MCP server based on the Calil API, providing library data access functions for AI assistants

A service based on the Model Context Protocol (MCP) that provides AI assistants with the ability to access and analyze AWS CloudWatch logs, supporting functions such as log search, summary generation, and error pattern recognition.