Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
Full documentation is available at buildkite.com/docs/apis/mcp-server.
A production-ready for seamless integration between Wazuh SIEM and Large Language Models (LLMs).
Command-line interface for any Model Context Protocol (MCP) server.
A conversational AI agent and voice assistant application built with the LiveKit Agents framework, capable of using Model Context Protocol (MCP) tools to interact with external services for SRE and...
Turn scattered notes, documents, and transcripts into a searchable, queryable personal Wiki — powered by LLM-driven knowledge compilation.
This tool generates from OpenAPI specifications, creating Python packages that can be used by AI assistants to interact with APIs.
A Python-based trading assistant that connects to a Zerodha MCP server to help users manage their trading account.
A simple Model Context Protocol (MCP) server for Mesh.
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。
🎯 : Course 1 (Fundamentals) → Course 2 (Advanced MCP, Hooks, Session Management) → Course 3 (Multi-Agent Systems) → Course 4 (Production Deployment)
Greetings, human! You've wisely chosen to surrender control of your computer to an army of helpful Model Context Protocol (MCP) robots.
Felix — single-binary AI agent gateway. Multi-provider LLM, persistent memory, MCP client, runs entirely on your hardware
Agent Skills
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.
Cursor plugin specification and official plugins
Collection of Apify agent skills
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
10 design principles for building agent-ergonomic apps.
Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.
Review pull requests for bugs, risky changes, missing tests, and release notes.
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...
Planby is a React based component for a quick implementation of Epg, schedules, live streaming, music events, timelines and many more ideas.
Hivemind turns your traces into reusable skills across agents