Claude Desktop Install Guide
Desktop client with local MCP configuration support.
MCP Servers
Windows and macOS are not supported. Using Docker does not change the host OS support policy.
implements the Model Context Protocol for and . AI clients discover schema, run SQL with guardrails, and optionally merge so agents interpret codes and tables consistently—without replacing your...
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A Model Context Protocol server for interacting with Strapi CMS. This server enables AI assistants to interact with your Strapi instance through a standardized interface, supporting content types and...
A comprehensive Model Context Protocol (MCP) server that provides analytics capabilities and tools for interacting with Microsoft Fabric data platform.
Model Context Protocol server to let LLMs write and execute matlab scripts
A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API.
Meilisearch | Meilisearch Cloud | Documentation | Discord
This is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities.
Model Context Protocol server for Cyclops
This repository contains a Model Context Protocol server implementation for Reddit that allows AI assistants to access and interact with Reddit content through PRAW (Python Reddit API Wrapper).
Outline now ships an — we recommend using it. Read the docs.
Agent Skills
Smart memory for AI agents — Claude Code & OpenClaw
My Good AI SKILLS
A terminal interface for Nanocodex
Custom extensions and skills for pi coding agent.
(formerly "AI Shortcuts") is a browser extension that lets you compare answers from multiple AI models in one place.
OpenClaw 生产部署、Agent 开发与 Claude Code 深度实战的完整知识库
一个中文文案「去 AI 味」skill，可以在 CoPaw、OpenClaw、Claude Code、Hermes，或者任何能读取 SKILL.md 并执行本地 shell 命令的 agent 里使用。
完整源码逆向工程技能：把存量源码逆向为功能/实现/架构/接口/对象/组件/数据库完整元模型，深度定制于 Java Web 与 Java 微服务(Spring Boot/Cloud)。支持 WorkBuddy / Claude Code / Codex。
Spec docs drift from code, or they bloat every PR. Skeeper picks neither.
An open-source Collaborative Multi-Agent OS for transparent, human-in-the-loop task coordination via Matrix rooms.
Run an After Action Review after any AI session and write concrete lessons so your agent stops repeating mistakes. A manual Reflexion loop, built on the US Army's AAR method.
Story Creation AI Agent for novel, scripts, translation, interactive games, and IP content