Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers

AI agents recompute the same work. trace-mcp makes them reuse instead. The recomputation → reuse layer for AI systems.

Local-first and static by default — no agent execution, tool calls, LLM calls, or network access.

- Refactored the entire codebase to standardize resource/tool structure, completely removed the content-metadata resource, and merged metadata into the page resource.

is a RAG (Retrieval-Augmented Generation) framework that transforms your local workspace into a 3D cosmic nebula of knowledge.

I've kind of given up on this as I don't have money to train it. Feel free to submit any sort of pull requests :)

Version 3.5.0 | MCP protocol 2024-11-05 | Node.js 18+

HA-MCP Custom Component - HACS distribution mirror of homeassistant-ai/ha-mcp (integration only)

A powerful Model Context Protocol (MCP) server that provides contextual database schema information for large Oracle databases, enabling AI assistants to understand and work with databases containing...

The whale-tracker-mcp server is a Python-based implementation of the Model Context Protocol (MCP) that integrates with the Whale Alert API.

Turn any documentation into an AI-searchable knowledge base. Feed it markdown, HTML, PDFs, web pages, or plain text — publish to a database and let anyone on your team query it through AI tools like...

A Nuxt module to easily create a Model Context Protocol (MCP) server directly in your Nuxt application.

Vue MCP Next relies on Vue DevTools to access and manipulate the runtime state of Vue applications. Please ensure:
Agent Skills

Collection of Apify agent skills

Cursor plugin specification and official plugins

A practical Claude Code guide with clear mental models and copy-paste examples — setup, prompt engineering, slash commands, skills, hooks, subagents, agent teams, and MCP servers.

Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.

-- Only 1.6% of Claude Code's codebase is AI decision logic. The other 98.4% is deterministic infrastructure -- permission gates, context management, tool routing, and recovery logic.

Open-Source Multi-Agent AI Assistant — Not Just Chat, an AI Team That Gets Things Done

Planby is a React based component for a quick implementation of Epg, schedules, live streaming, music events, timelines and many more ideas.

Nothing is more valuable than time and money. In a world of AI agents, that's speed and token spend. A well-designed CLI is muscle memory for an agent: no hunting through docs, no wrong turns, no...

Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.

10 design principles for building agent-ergonomic apps.

Review pull requests for bugs, risky changes, missing tests, and release notes.

动手学CS146S中文版课程,包含assignments,vibe coding工具等,本项目将长期持续维护,致力于打造中文最好的vibe coding教程。