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MCP Servers

This is a simple example of how to use the Model Context Protocol (MCP) with OpenAI's API to create a simple agent acting from a chat context.

An MCP (Model Context Protocol) server that provides comprehensive RAG (Retrieval-Augmented Generation) capabilities for processing and querying directories of documents using the raganything library...

A ground-up Rust SDK for the Model Context Protocol — both halves of the protocol, server client — with a macro-driven, zero-boilerplate surface and strict spec compliance as a feature.

🪐 ✨ AI Agents for JupyterLab with 🛠️ MCP tools - Chat interface for intelligent notebook interaction, code execution, and workspace management.

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A collection of MCP server examples developed with Java SDKs

Lightweight, fast, NativeAOT compatible MCP (Model Context Protocol) framework for .NET

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.

A Model Context Protocol (MCP) server providing access to the comprehensive OpenNutrition food database with 300,000+ food items, nutritional data, and barcode lookups.

Strimzi Kafka CLI is a CLI that helps traditional Apache Kafka users -both developers and administrators- to easily adapt to Strimzi, a Kubernetes operator for Apache Kafka.

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

An SDK for building MCP (Model Context Protocol) servers and clients in Scala 3 using boilerplate-less, type-safe APIs based on Tapir and sttp, supporting the variety of the Scala ecosystem.
Agent Skills

Personal memory across agents

Coding agents hallucinate APIs and forget what they learn in a session. Context Hub gives them curated, versioned docs, plus the ability to get smarter with every task.

Agent Skill for generating AGENTS.md files following the agents.md convention | Claude Code compatible

AI agents should not give project advice from vibes.

provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...

🚀 Generate Python data models from schema definitions in seconds.

Agent-native way to access any website. Bridging agent CLI and web GUI through API.

The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...

A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.

Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...

A multi-agent ML pipeline that turns a client's spreadsheet into a trained model and a one-page decision-support report — all inside hardened NemoClaw sandboxes.

High-value AI skills repository for Codex, Claude Code, OpenClaw, agents, prompts, and automation workflows. 高价值的 AI 技能库,涵盖 Codex、Claude Code、OpenClaw、代理、提示和自动化工作流程。