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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

Design, scaffold, build, review, evolve, and publish production-grade Claude Code skills following the Agent Skills open standard.

This repo is the companion project for the YouTube build: (watch on YouTube)

AI agent skills for Trust Wallet — API endpoints, CLI tools, and open-source libraries across .

"A true master teaches not by telling, but by refining." - The Skill Sensei

into a disciplined four-stage slide-generation workflow:

Reusable finance Agent Skills — grounded in LLMQuant Data

While other collections link to external repositories, provides a self-contained, ready-to-use library of complete skills. Every skill in this repository is a full SKILL.

BuilderOS is the successor to PLAID — Product Led AI Development. The PLAID skills have been refactored into standalone BuilderOS skills; new development happens here.

Dunford on positioning. Schwartz on copywriting. Cialdini on persuasion. Ogilvy on advertising. Hormozi on offers. Voss on negotiation.

Skills are folders of instructions, scripts, and resources that Claude loads dynamically to improve performance on specialized tasks.

A context harness for AI agents — and for building them: one unified workspace over your code, memory, skills, docs, messages, and every data source.

A reduced, higher-signal library of agent skills for ChatGPT. The repo now favors fewer, broader skills with real deterministic tooling over a long tail of thin utility wrappers.