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MCP Servers

A comprehensive collection of courses and tutorials for learning the - an open protocol that standardizes how AI applications connect to external tools and data sources.

A mcp server for fetching the Effect-ts documentation

is a comprehensive MCP-native system that serves as a complete AI agent operating system. It exposes dozens of powerful capabilities through the Model Context Protocol, enabling advanced AI agents to...

This implementation is based on the Model Context Protocol (MCP) put forward by Anthropic. For more information on MCP, please have a look at their official documentation.

Create production-ready MCP servers in PHP with modern architecture, and flexible transport options.

Minimal API & React framework, fully type safe, OpenAPI, RSC, MCP, type safe client, streaming with SSE

In the rapidly evolving world of web development, the integration of AI assistants with UI component libraries has become increasingly important.

An MCP server that hosts finite state machines as dynamic resources that multiple clients can subscribe to and be updated when their state changes.

A Model Context Protocol (MCP) server that connects Claude directly to your Shopify store. Manage products, orders, customers, collections, inventory, and fulfillments — all through natural language.

MCP is a Go implementation of the Model Context Protocol — a standardized way for applications to communicate with AI models.

Agentic AI Engineering is a production-grade engineering resource for building modern agentic AI systems with LangChain, LangGraph, RAG, MCP, local models, and deployable Python services.

Build powerful, scalable, and secure Model Context Protocol (MCP) applications with ease. MCP Plexus is a Python framework built on the robust jlowin/fastmcp (FastMCP 2.
Agent Skills

OpenShell is the safe, private runtime for autonomous AI agents. It provides sandboxed execution environments that protect your data, credentials, and infrastructure — governed by declarative YAML...

Skillpack helps teams turn AI skills into trusted local agents that can run in their own environment and be used directly from and .

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

Think package.json, requirements.txt, or Cargo.toml — but for AI agent configuration.

一套**的手绘画风提示词配方。把你想画的内容,套进内置画风,产出可直接复制去喂图像模型的**。适用于任意能读自定义指令的 AI Agent——Claude Code、Cursor、Codex CLI、Gemini CLI、Cline、Windsurf 等。

The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.

Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki.

Small, composable skills for coding agents.

External-model router for Codex with guided Kimi OAuth/API, DeepSeek, safe migration, and rollback.

is an open-source, LLM-powered knowledge framework built for enterprise-grade document understanding, semantic retrieval, and autonomous reasoning.

Anthony Fu's curated collection of agent skills.