# 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.

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.

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.

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

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.

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 LinkedIn profile analysis tool based on Claude AI that retrieves and manages LinkedIn post data through RapidAPI.

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 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.

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.

The Valyu MCP Server is an AI model context protocol tool that can obtain high-quality context data through the Valyu API, supporting Wikipedia, arXiv papers, and web searches.

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.

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

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.

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

A Sentry error analysis tool based on TypeScript that provides the function of accessing and analyzing Sentry error data through an AI agent, supporting both tool and prompt interface methods.

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.

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

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

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.

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.