The Magic Component Platform (MCP) is an AI-driven UI component generation tool that helps developers quickly create modern UI components through natural language descriptions and supports integration with multiple IDEs.

Blender MCP VXAI is a powerful integration tool that allows users to control Blender through natural language to create and modify 3D models, animations, and scenes. It simplifies complex operations and supports real-time export to projects.

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.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

Office-Word-MCP-Server is a server based on the Model Context Protocol that provides a standard interface for AI assistants to create, read, and operate Microsoft Word documents, supporting rich document editing functions.

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

The Notion MCP Server is a server implementation based on the Model Context Protocol (MCP) that allows AI assistants to interact with the Notion API through natural language, providing a complete set of tools and endpoints to read, create, and modify Notion content.

This project demonstrates how to use LlamaCloud to create an MCP server and the application of LlamaIndex as an MCP client.

The Supabase MCP server is a tool based on the Model Context Protocol (MCP) that provides a standard interface for AI assistants to interact with Supabase databases, supporting database operations such as create, read, update, and delete.

This project creates an AI agent based on the n8n platform that can discover and use Model Context Protocol (MCP) server tools through the Nostr network. The agent searches for available tools by querying Data Vending Machines (DVM) in the network, sends requests, and obtains responses, thereby expanding the functionality of the LLM to use MCP tools that are not installed.

The Korx Share MCP Server is a multi-functional MCP protocol server that, by integrating with the korx.org API, creates secure and shareable URLs for AI-generated visual content (such as charts, dashboards, and HTML pages), while maintaining content interactivity and performing risk filtering.

An MCP server for interacting with the Pump.fun platform, supporting AI assistants to create, buy, and sell tokens on Solana.

An MCP server that tracks newly created liquidity pools on PancakeSwap in real-time, providing real-time data for DeFi analysts, traders, and developers.

A meta - function architecture server that supports AI to dynamically create and execute custom tools

Use the uv tool to create and run a Python project named mcp - server - demo, build a FastMCP server supporting addition functions through the MCP SDK, and configure the client connection.

An MCP service that helps technical coaches create structured learning hour meeting content, following the 4C learning model to generate a complete 60 - minute technical practice course plan including connection, concept, practice, and conclusion.

This is an example project of building an MCP server with Go language, showing how to create an MCP service and call it through GitHub Copilot.

The Neural Child Development System is a breakthrough artificial intelligence framework that reconstructs the learning method of neural networks by simulating human psychological development stages (including cognitive, emotional, and social growth). This system integrates developmental psychology theories (such as Piaget's cognitive development stages and attachment theory) and neuroscience principles to build a complex architecture including perceptual processing, emotional regulation, memory systems, and psychological components, aiming to create AI with real emotional intelligence and natural development capabilities.

The Slack MCP Server is a model context protocol service designed for Slack workspaces. It supports Stdio and SSE transmission methods and can be integrated and used without the need for workspace administrators to create or approve bot permissions.

An MCP server that directly creates, manages, and publishes X/Twitter posts through Claude chat

An MCP server based on the Google Docs API that supports language models to create, search, append, and update Google documents.

OpenManus is an open-source project that allows users to realize various ideas without an invitation code. It was built by members of the MetaGPT team in 3 hours. It provides a simple implementation that allows users to create their own intelligent agents and supports multiple languages and configurations. The project welcomes suggestions, contributions, and feedback. Future plans include better planning, real-time demonstrations, playback functions, RL fine-tuning models, and comprehensive benchmarking.

An implementation project of the MCP server for Rhino 3D, allowing AI to create and manipulate 3D objects through the model context protocol, including Python and C# components, currently in the development stage.

The Telnyx Local Model Context Protocol (MCP) Server provides interaction capabilities with telephony, messaging, and AI assistant APIs, supporting clients such as Claude Desktop to manage phone numbers, send messages, make calls, and create AI assistants.

An automated test case generation tool that connects Jira and Gemini AI. It extracts requirement information from Jira through the MCP protocol, uses Gemini to intelligently generate test cases, and automatically creates them in Jira/Xray.

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.

A micro Node server for generating VS Code MCP installation buttons, supporting direct running via NPX to create installation buttons for the stable and Insiders versions of VS Code.

A professional tool for quickly creating MCP server scaffolds

This project shows how to create an MCP server and client for Azure Cosmos DB, including a front - end application (product catalog and AI assistant) and an MCP server component that connects to the database.

An unofficial Dub.co short - link MCP server that allows AI assistants to create, update, and manage short links through the Dub.co API.

The Penrose MCP Server creates mathematical diagrams through natural language

This project demonstrates how to create an MCP server that enables LLMs to communicate with Backstage instances, including a sample agent based on the Bee Agent Framework.

Overview: This README.md file provides an overview of the MCP protocol and its components, including Hosts, Clients, Servers, local data sources, and remote services. It also demonstrates how to create a GitHub MCP Server to search for repositories, issues, and create new issues. In addition, it includes an example of integrating the MCP protocol with an SQLite database.

Meta MCP Server is a meta-server that can create other MCP servers, providing dynamic server generation and automated file management functions.

The WikiJS MCP Server is a tool that connects Claude to the Wiki.js knowledge base, allowing Claude to search, read, update, and create Wiki.js document pages for automated management of the team's knowledge base.

FFmpeg-MCP is a model context protocol server designed to help LLMs process various multimedia content created by humans and machines, including functions such as decoding, encoding, transcoding, mixing, separating, streaming, filtering, and playing.

This project demonstrates how to use Go language to create a server based on the Model Control Protocol (MCP) and deploy it via a Docker container. This MCP server provides a tool that allows LLMs to retrieve web content through the curl command, thereby enhancing the functionality of LLMs.

The MCP Secure Installer is an automated tool used to install and containerize the MCP server from a GitHub repository. It utilizes the MCP sampling function to analyze the repository and create the corresponding Docker image.

MCP Maker is a dedicated tool for helping to create new MCP servers

The Netlify MCP Server is a service that follows the Model Context Protocol (MCP). It allows code agents to use the Netlify API and CLI through natural language instructions to create, build, deploy, and manage Netlify resources.