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MCP Servers

Learn how to implement MCP client with SwiftUI and Anthropic API

A XGo implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

🎯 : Course 1 (Fundamentals) → Course 2 (Advanced MCP, Hooks, Session Management) → Course 3 (Multi-Agent Systems) → Course 4 (Production Deployment)

This is a Model Context Protocol (MCP) server implementation for Redmine. It integrates with Redmine's REST API to provide ticket and project information to LLMs.

Elixir Model Context Protocol (MCP) SDK (hermes-mcp fork)

Full documentation is available at buildkite.com/docs/apis/mcp-server.

A comprehensive Model Context Protocol (MCP) server for interacting with the Zendesk API. This server provides tools and resources for managing Zendesk Support, Talk, Chat, and Guide products.

A lightweight wrapper around mcp-swift-sdk that integrates with LLM Swift libraries such as SwiftOpenAI and SwiftAnthropic to easily create your own MCP Clients in macOS applications.

A production-ready for seamless integration between Wazuh SIEM and Large Language Models (LLMs).

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.

一个用于与语雀 API 集成的 Model-Context-Protocol (MCP) 服务器。此实现受 Figma-Context-MCP 的启发,并使用 语雀开放 API。

A collection of MCP server examples developed with Java SDKs
Agent Skills

🚀面向求职与开发场景的实用 AI Skills 集合,支持简历优化、岗位投递、面试准备与开发提效。

J-Space Cognition Suite V3.7 - AI cognitive-enhancement Skills based on Anthropic's J-space global workspace research. | 哔哩哔哩:Tiger380 (UID 3494375382321675) — https://space.bilibili.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

:triangular_ruler: Ts.ED is a Node.js and TypeScript framework on top of Express to write your application with TypeScript (or ES6).

Spec-driven thinking, nano-sized docs. Lightweight task specification for AI-assisted development.

给 AI 编码助手用的「工作台架构师」技能。它不写界面 —— 它负责回答*这东西到底是什么*,然后输出一份能直接开工的 ,交给 finesse-ui 或任何会写页面的 AI。

The Lightest Shared Standard for AI Agents

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

Deslop is a set of tools that help agents create good design.

Personal AI agent harness powered by Claude Code. Always-on access through Discord, Telegram, or a built-in web UI.

Open-source AI agent and cross-platform client for local and remote development workflows.

适配dsh的一键破解 支持v4flash和v4pro