# AI Integration

Overseerr MCP is an integrated service for a media request system that enables natural language interaction through Claude AI, supporting the search for movies/TV shows, submission of media requests, and management of Overseerr instances.

The NASA MCP Server is a server that follows the Model Context Protocol specification, providing a standardized interface for AI models to access more than 20 public API data sources of NASA, including astronomical photos, Mars exploration data, Earth observation images, etc. The project provides unified data format conversion, parameter validation, and rate limit management, and supports multi - platform operation.

A Model Context Protocol (MCP) server template project based on TypeScript, providing functions such as IP query and supporting the integration of AI applications such as Claude Desktop and Cursor AI.

An OmniFocus integration service designed for Claude Desktop, providing task management functions through the MCP protocol, supporting task and project retrieval and intelligent filtering

An MCP server based on Cloudflare Worker, providing the ability to generate images through the Flux model

An MCP server based on Go language that uses OpenAI's DALL-E API to generate images from text descriptions and can be integrated with large language models such as Claude.

An MCP server based on TypeScript, integrating the Dify AI API to implement Ant Design component code generation, supporting text/image input and streaming responses.

The ScrapeGraph MCP Server is a production - ready model context protocol server that provides seamless integration with the ScrapeGraph AI API, enabling language models to leverage advanced AI - driven web scraping capabilities.

The MySQL Query MCP Server is a tool that provides read-only MySQL database query services for AI assistants. It supports multiple environment configurations and secure connections, helping developers explore and analyze database data through AI tools.

A Locust load test server implementation based on the Model Context Protocol, supporting AI development environment integration

The YepCode MCP Server is a server implementing the Model Context Protocol. It can transform YepCode processes into AI tools, supports remote and local deployment, and provides functions such as code execution, environment management, and process execution.

Logseq MCP toolset that provides local Logseq interaction capabilities for AI agents

The MCP Browser is a headless browser interface based on Playwright, supporting web UI interaction and WebSocket real-time communication. It is designed for AI agent and MCP protocol integration.

An MCP service connecting to Feishu Docs, supporting access to document spaces and lists, and seamless integration with AI clients.

Edit-MCP is a model context protocol server integrated with Microsoft Edit tools, providing advanced file editing functions for AI systems. It uses a hybrid architecture that combines file system operations and Edit integration.

An open - source project researching the integration of Retrieval Augmented Generation (RAG) with Multi - Cloud Processing (MCP) servers, focusing on the application of free models in business software and providing a modular learning path and practical cases.

This analysis report summarizes the most interesting MCP (Model Context Protocol) servers discussed on the X platform on March 19, 2025, focusing on their practicality in AI - driven workflows. Through discussions and blog posts on the X platform, the report identifies the most popular and recommended MCP servers, including Reddit, Notion, Google Sheets, Gmail, and Discord, which are favored for their automation capabilities and ease of use. In addition, servers with specific functions such as SendAI Kit and Dolphin - MCP, as well as pre - built servers provided by Anthropic, are also mentioned.

A code context analysis service based on WebAssembly, providing directory structure and code symbol extraction functions, supporting the analysis of JavaScript/TypeScript and Python languages, and seamlessly integrating with AI assistants.

The TRELLIS Blender plugin integrates advanced text/image - to - 3D model generation capabilities into Blender, supports generating textured 3D meshes from text or images, and provides detail adjustment functions. The plugin also integrates the MCP service and can communicate with tools such as Cursor/Windsurf.

The Figma MCP Server is a model context protocol service that connects to the Figma API, allowing AI tools and LLMs to access and process Figma designs.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality, supporting connection and use via the MCP checker and Claude desktop application.

awesome - mcp is a project that collects Model Context Protocol (MCP) servers/clients, aiming to simplify the integration of large language models with external systems through a standardized protocol.

An MCP server that connects AI agents with Apache Jena, providing SPARQL query functionality

A persistent memory server based on a knowledge graph, supporting cross - session memory of user information and learning of error solutions

Implementation of Mailgun's MCP Server, supporting interaction with AI clients such as Claude Desktop and providing email sending and statistics functions.

The TomTom MCP Server is a tool that simplifies geospatial development, providing seamless access to TomTom's location services, including search, route planning, traffic, and static map data, making it easy to integrate accurate location data into AI workflows and development environments.

An MCP server that enables AI assistants to directly search for and analyze Datadog logs, improving the efficiency of troubleshooting and log analysis through natural language queries.

MCP-ORTools is a constraint solving service based on Google OR-Tools that integrates with large language models through a standardized constraint model specification to achieve the submission, solving, and result analysis of constraint problems.

The Attio MCP Server is a Model Context Protocol service designed for the AI-native CRM Attio. It supports interacting with Attio data through natural language, provides comprehensive API support for companies, contacts, lists, etc., and has functions such as error handling and automatic retry.

Ultra MCP is a multi-model AI protocol server that integrates AI models such as OpenAI and Gemini through a unified MCP interface, providing support for Claude Code and Cursor. It features zero-configuration installation, a built-in usage analysis dashboard, and a modern web interface.