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
APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API.
MCPSDK.dev(ToolSDK.ai)'s Awesome MCP Servers and Packages Registry and Database with Structured JSON configurations. Supports OAuth2.1, DCR...
A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API.
A Model Context Protocol (MCP) server that provides seamless integration with the GoHighLevel API v2.
Model Context Protocol server that enables Claude Desktop to interact with and view tmux session content.
A Model Context Protocol (MCP) server implementation that provides a web search capability over stdio transport. This server integrates with a WebSearch Crawler API to retrieve search results.
A curated guide to convention files AI agents read, write, and act on: AGENTS.md, CLAUDE.md, SKILL.md, llms.txt, MCP configs, rules, and examples.
Simple MCP server for managing AI prompts and agent configurations with direct claude CLI orchestration.
Production ready MCP server with real-time search, extract, map & crawl.
A secure REST API and Model Context Protocol (MCP) server for your vault.
Model Context Protocol server for PwnDoc pentest documentation
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).
Agent Skills
Collection of Apify 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.
120 marketing skills as an AI marketing staff — plugin, portable skills, or an 8-bot team across 7 disciplines (narrative, SEO/GEO, social, email, paid, influencer, launch) on one contract, with 8...
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
Review pull requests for bugs, risky changes, missing tests, and release notes.
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.
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