— · no license
Always-current official Claude docs inside Claude Code. A 3 MB metadata plugin: live on-demand fetching from Anthropic's servers, zero content redistributed. Auto-discovery skill, instant search, interactive HTML courses, and doc changelog reports.
v1.12.0 · Apache-2.0
Your coding agent designs terrible UI. stitch-kit wires it into Google Stitch MCP and teaches it the whole pipeline — ideation, screen generation, design systems, production components.
v1.0.9 · MIT
Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.
v3.46.1 · MIT
Multi-Agent + Automation Harness: Graph-based Workflows, MCP, Self-Improving Agents. NextJs+React
v2026.9.24 · MIT
Reusable project context and specialist workflows for the AI tools you already use. AIWG places agents, skills, commands, and rules in provider-readable locations, with optional utilities for artifact memory, workflow orchestration, recovery, and discover
— · MIT
A market-driven Product Manager copilot (Agent Skills + Claude Code plugin) based on the Pragmatic Framework — guides PMs from idea to launch and produces a client-ready artifact (Markdown or .docx) at every stage.
v0.1.4 · MIT
Fable-style verification gate for Claude Code: don't say done until it's verified. Port of the Codex plugin by Agent Korea (플라잉따릉이).
v3.36.9 · AGPL-3.0-only
Local dashboard for Claude Code and Codex CLI sessions: which Claude Code session needs input, every tool call and Claude Code subagent live, token cost and quota, several Claude accounts. Run npx ccdeck.
v2.0.7 · MIT
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
— · MIT
Android Full-Stack Device Control Platform: WebRTC/H.264 remote desktop, UI/OCR/image-matching automation, one-click MITM, built-in Frida, proxy/VPN/frp/P2P networking, MCP/Agent, 160+ APIs, designed for multi-device clusters and engineered deployments.
v0.2.1 · AGPL-3.0-only
The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.
v4.0.5 · Apache-2.0
AI Agent-first JS 逆向 MCP Server:有头 Chrome 调试、断点、网络/WebSocket 分析、Patchright 反检测,可选 CloakBrowser。
v1.0.6 · MIT
A virtual pet companion for your AI — Designed to provide in-context code review feedback with personality. Grow with your buddy and level up together. Works with Claude Code, Codex, CursorCLI, Github CopilotCLI, OpenClaw, and any MCP compatible clients
v1.2.0 · MIT
Pith is the hook that makes Claude Code sessions last 3x longer.
v1.0.1 · Apache-2.0
Press both Option keys and the window you're looking at - screenshot plus every word in it - lands in your next Claude Code message.
v1.0.0 · MIT
MetalBear Skills for our users
v1.6.0 · MIT
AI coding assistant skills for building CrowdStrike Falcon Foundry apps: scaffolding, deployment, and best practices for API integrations, collections, functions, UI extensions, UI pages, and workflows.
v1.9.0 · MIT
Claude Code skill that delegates implementation to GPT-5.6 Sol via Codex CLI, Claude plans and reviews the diff, Sol writes the code. Multi-model AI coding where the model that wrote the diff never grades it.
v0.23.6 · MIT
Mission control for every Claude Code session on your machine.
— · Apache-2.0
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
— · MIT
Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.
— · MIT
MCP 资源精选, MCP指南,Claude MCP,MCP Servers, MCP Clients
v9.6.0 · Apache-2.0
Intlayer MCP server. Handle MCP to help IDE to use Intlayer. It build, fill, pull, push, dictionaries
— · See LICENSE file in repository root
Audit a website with the squirrelscan CLI and fix the findings in code. Runs SEO, performance, security, technical, content, accessibility, and 15 other rule categories (260+ rules), returns an LLM-optimized report, then drives an iterative fix loop, mapping issues to source files, applying fixes, a