# AI tool

A server based on the MCP protocol that enables AI assistants to query the geographical location information of IP addresses through the IP Find API.

FindMCP is a service directory tool based on the MCP protocol, specifically designed for the Cursor editor. It provides the query function for MCP services such as Smithery.ai. It supports local deployment and deployment on the Smithery.ai platform, including complete configuration files and debugging guides.

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 notification service based on the Model Context Protocol that allows AI agents to play prompt sounds when tasks are completed. It provides an out-of-the-box preset sound effect library, supports cross-platform operation, and allows for custom sound effect configuration.

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.

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 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.

An MCP server implementation based on Node.js and TypeScript, providing a standardized LLM context interaction protocol, including functions such as calculation tools, system information, message reflection, and prompt templates.

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.

Fetcher MCP is a web content scraping server based on the Playwright headless browser, which uses AI technology to efficiently obtain web information.

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.

Datax is an intelligent data analysis tool for the AI era, supporting in - depth business insights and predictive analysis through natural language interaction.

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.

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.

This project provides a Model Context Protocol (MCP) server based on the official API of the Korea Tourism Organization (KTO), enabling AI assistants to query detailed information about Korean tourist attractions, cultural events, dining, and accommodation. It supports multi - language search, location awareness, caching, and automatic retry functions, and can be run directly through Docker or Python.

The Prysm MCP Server is a web content scraping service designed for AI assistants, supporting multiple scraping modes, content analysis, and format output.

A knowledge base search MCP server project based on AWS Bedrock and Cloudflare Workers, supporting AI assistants to search for document content through the 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.

A MySQL database operation service based on the Model Context Protocol, providing a standardized MySQL database interaction interface for AI models, supporting functions such as connection management, query execution, and table structure viewing.

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.

The SurrealDB MCP Server is a server that provides a standardized interface for AI assistants to interact with SurrealDB databases, supporting data query and operation.

Sandbox MCP is a model context protocol server that allows LLMs to run code in secure Docker containers, solving the security problem of the inability to test code generated by AI.

The medRxiv MCP Server is a bridge connecting AI assistants with the medRxiv preprint library, providing functions such as paper search and metadata acquisition through the MCP protocol, and supporting health science research.

Shorts Video Maker is an open - source tool for automated short - video generation. It combines text - to - speech, automatic subtitle, background video, and music technologies to create engaging short - video content through simple text input. It supports REST API and MCP protocols and is suitable for content creators and developers.

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

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

The Oyemi MCP Server is a tool that provides semantic dictionary services for AI agents, supporting functions such as converting words to deterministic semantic encodings, sentiment valence analysis, semantic similarity calculation, and synonym and antonym search, without runtime dependencies.

An MCP server for the Firebase Firestore database, supporting AI assistants to directly perform CRUD operations, queries, and collection management

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.

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