# 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.

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.

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.

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

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.

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 Node.js tool for generating images from text through the fal.ai API and MCP protocol, supporting multiple models and parameters, suitable for developers and creators to quickly generate images.

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.

The GitLab MCP service is an AI tool for automated code review analysis, supporting obtaining repository commit records, viewing commit differences, and exporting review results.

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.

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.

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.

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

Pushover MCP is a tool that implements the Model Context Protocol specification, allowing AI agents to send notifications via Pushover.net. It provides a simple configuration method and multiple integration methods, and supports use on platforms such as Cursor and Roo Code.

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.

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.

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 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 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.

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.

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.

Collection of MCP servers for models such as Anthropic

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.

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.

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.

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