# AI tool

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

A MongoDB server based on the Model Context Protocol (MCP) that allows LLMs to interact directly with MongoDB databases, supporting operations such as querying, schema inspection, and data management.

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.

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.

A file-to-Markdown tool based on Cloudflare AI

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

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 open - source short - video automatic generation tool that integrates text - to - speech, automatic subtitles, background videos, and music to create professional short videos from simple text input.

An MCP server that provides chess functions for Claude AI

A network diagnostic server based on the Model Context Protocol (MCP) that provides network analysis tools for AI agents, including connectivity testing, batch operations, obtaining local network information, packet capture analysis, etc. It supports security control and structured data output.

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 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.

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 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.

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

mcp - server - webcrawl is an advanced web crawler data search and retrieval tool designed specifically for AI clients. It supports multiple crawler formats (such as WARC, wget, etc.), provides full - text search, Boolean logic queries, and resource type/status filtering functions. It can be seamlessly integrated with Claude Desktop, is installed via Python, and is suitable for tasks such as building website knowledge bases or conducting SEO/performance audits.

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

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

The GPT Researcher MCP Server is an AI research server based on the MCP protocol. It can provide high-quality and optimized research results for LLM applications through in-depth web search and verification.

mcpx-py is a Python library for interacting with LLMs through the mcp.run tool. It supports multiple AI models and provides structured output functionality.

Flyworks MCP is a free and fast zero - shot lip - sync tool that achieves lip - sync between digital human videos and audio through an API interface, supporting both real and cartoon styles.

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 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.

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.