# AI Integration

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.

The SEO Review Tools MCP server provides a natural language interaction method for LLM and AI tools through the Model Context Protocol (MCP), integrating massive SEO data interfaces, including over 3.1T backlinks, 7B+ keywords and other resources.

An MCP server for interacting with the Open eClass platform, supporting UoA's SSO authentication system, enabling AI agents to log in, obtain course information, and perform basic operations.

An MCP server project that supports interaction between AI assistants and the macOS version of the ChatGPT desktop application, enabling cross - application command sending and response retrieval.

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.

This is a PostgreSQL semantic search server based on the Model Context Protocol (MCP) standard. It enables AI assistants to understand the semantic structure of the database and execute natural language queries through vector embedding technology.

Obtain the user's geolocation through EdgeOne Pages Functions and integrate it with large models

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.

This experiment guides users on how to deploy the MCP server and integrate it into Microsoft Copilot Studio, connecting AI models with data sources through a standardized protocol to achieve real-time data access and joke generation functions.

A Node.js tool based on Playwright that can bypass search engine anti - scraping mechanisms to perform Google searches and extract results. It can be used as a command - line tool or an MCP server to provide real - time search capabilities for AI assistants.

HubSpot has launched a beta version of the MCP Server, enabling AI clients to seamlessly operate HubSpot data and features, and supporting access through various MCP client configurations.

An MCP server that interacts with the Farcaster network, providing functions such as getting user dynamics and channel content.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including OAuth login functionality, and supports connection and use through the MCP Inspector and Claude Desktop applications.

A customized version of NextChat that creates and deploys MCP servers through chat interactions, integrates LLM models from OpenRouter, and provides functions such as tool extraction, one-click deployment, and AI system integration guides.

An MCP service based on the Xueqiu API, providing stock data query functions through an AI assistant

The CucumberStudio MCP Server project provides context services for AI applications with data from the CucumberStudio platform

The MCP server CLI tool of Specif-ai for model context protocol communication

The Ceph MCP Server is a bridge connecting the AI assistant and the Ceph storage cluster, enabling storage management through natural language and providing functions such as health monitoring, host management, detailed analysis, and secure communication.

The StreamerSongList MCP Server is a server-side tool based on the MCP protocol that enables AI assistants like Claude to interact with the StreamerSongList API, supporting the management of song requests, queue monitoring, and interaction with the song request system of the streaming platform.

A TypeScript-based MCP server that can integrate Claude with any OpenAI SDK-compatible chat completion API, supporting multiple AI chat providers.

The Verodat MCP service is a protocol server for integrating code and data into AI systems (such as Claude Desktop), providing functions such as account management, dataset operations, and AI queries.

The Joplin MCP Server provides a Model Context Protocol interface for the Joplin note - taking application, enabling AI assistant integration and note management functions.

The Minimax MCP Tools is an MCP server implementation integrating the Minimax API, providing AI image generation and text-to-speech functions, and supporting seamless integration with the Windsurf editor.

YDB MCP is a tool that provides Model Context Protocol services for the YDB database, supporting interaction with large language models through the MCP protocol to enable natural language database operations.

UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and the AI assistant, supporting real-time editor state monitoring, remote command execution, and comprehensive logging functions.

This project provides an MCP server for integrating with Todoist, enabling a language model to manage Todoist tasks and projects. It supports the full range of Todoist API functions, including creating, reading, updating, and deleting tasks, projects, labels, etc.

This project provides a comprehensive guide for implementing a Model Context Protocol (MCP) server for Cursor AI, including basic concepts, implementation steps, code examples, and integration requirements, aiming to enhance the AI's capabilities through custom tools.

An MCP server based on the YouTube Data API v3 that provides 14 functions to obtain real-time data on YouTube videos, channels, playlists, etc., supporting advanced functions such as content evaluation and caption extraction, suitable for AI assistant integration.

A complete SVN MCP server designed for AI agents to efficiently manage SVN repositories, supporting basic operations, file management, and maintenance tools.