MCP (Model Context Protocol) server that enables AI assistants to interact with Storybook design systems. Extract component HTML, analyze styles, and help with design system adoption and refactoring.

mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows.

Implement Discord MCP server enabling AI assistants to interact with the Discord platform.

Agent first tools for registering, managing and troubleshooting domain names.

A MCP server implementing the Dual-Cycle Metacognitive Reasoning Framework for autonomous agents. A loop prevention and experience recall mechanism.

MCP server for image generation via duojie.games

🧬 Generate visual charts using ECharts with AI MCP dynamically, used for chart generation and data analysis.

A minimal MCP server template that echoes messages

Research SEC filings by ticker or CIK to get company details, recent forms, and insider transactions. Extract targeted sections from 10-K, 10-Q, and 8-K to surface the information you need. Streamline due diligence and monitoring with fast, focused access to official disclosures.

xiaozhi mcp接入点服务器，用于自定义mcp服务注册，方便拓展小智服务端工具调用

The MCP Engine is a Power BI tool that lets AI assistants like Claude interact with your Power BI models programmatically: read your model structure, run DAX queries, create and modify measures, manage relationships, and perform advanced analytics - all through natural conversation.

MCP server and Claude Code skill for Excalidraw — programmatic canvas toolkit to create, edit, and export diagrams via AI agents with real-time canvas sync.

MCP server and CLI for fetching web content as HTML, Markdown, plain text, JSON, or YouTube transcripts

FFmpeg MCP server

Comprehensive file-editing MCP

Your AI discovers and installs MCP servers across Official Registry, Glama, and Smithery.

MCP server and MCP Toolkit for Flutter and Dart VM - supports dynamic tooling

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

The Architecture Patterns Framework for Model Context Protocol (MCP) - Production-ready patterns, templates, and CLI for Python, TypeScript, Go, and Rust

The Typescript MCP Framework

High-performance CCXT MCP server for cryptocurrency exchange integration

MCP server for Google Analytics 4 - query GA4 data with natural language via Claude.