Claude Desktop Install Guide
Desktop client with local MCP configuration support.
MCP Servers

MCP server that gives AI agents full vision and control over Android devices via ADB and scrcpy.

A plugin-based MCP server for React Native runtime debugging, inspection, and automation. Connects to Metro bundler via Chrome DevTools Protocol — for most features.

An MCP server that provides KOSPI/KOSDAQ stock data from KRX Data Marketplace.

This is an MCP Server that wraps various JVM diagnostic tools (CLI) such as jstat, jcmd, jps, adds a nice prompt to improve how they work, and exposes them.

Relay beside your IDE — the agent pauses, you review & answer, it continues. All in one tools/call .

A specialized MCP server that bridges Neo4j graph database with AI agents, providing memory-focused tools for storing, recalling, and connecting information in a knowledge graph.

基于 的增强版本,通过**显著减少对 Figma API 的请求次数,从而缓解速率限制问题,提升稳定性与响应速度。

Install and configure MCP servers across all major AI clients with one command.

Stdio MCP server for sandboxed file access — read files, search content, safely edit with checksums, and manage file structure.

Keeping up with AI trends is exhausting. Claude doesn't know what happened after its training cutoff. Ask it "what's hot in AI right now?" and you get stale answers.

Token-efficient code intelligence MCP server for AI coding agents.

This is a community-maintained project. — This project is under active development and not intended for production use. APIs, tools, and behavior may change without notice.
Agent Skills

把一堆手机拍的旅行素材,用 AI Agent 自动剪成一个完整 Vlog。 你只需要提供素材文件夹,剩下的交给 Agent。

BAGEL is a model-agnostic, modular, fully customizable Python framework for programmable protein design.

一个面向 Seedance 2.5 商业广告创作的导演型 Skill。它把产品 brief、参考图和传播目标转换为 15 秒、30 秒或自定义时长的 TVC 策略、导演执行单、分镜预览与可复制视频提示词,也能根据生成成片的时间码证据给出局部重试方案。

一个用于 的 Codex Skill。它通过 ADB 截图、UI 层级、系统运行时信息和结构化索引,把“人工逛 App”变成一套可追溯、可核验、可用于横向对比的证据材料。

本 skill 把叶子南《高级英汉翻译理论与实践》(第4版)的英译汉方法论,工程化为一条英译中流水线。核心信条如下:

Locate every paper in the literature, not just in a summary.

- using GLiNER-PII and LLM-based augmentation and validation - — LLM-generated substitute, redact, annotate, or hash (deterministic, local) - before full runs with display_record() visualization

A collection of Agent Skills that give a coding agent architectural skills to build scalable, maintainable Django projects with clean separation of concerns, testability, and a full suite of best...

OpenHarness — 24/7 Autonomous AI Framework For OpenClaw

This repository is the canonical source for a simple cloud factory: a set of agent skills and GitHub Actions workflows for moving work from an incoming issue to a verified change.

- — wrap third-party SDK clients (Stripe, Resend, AWS, etc.) with Effect using the "use" pattern: type-safe tagged errors, automatic tracing spans, config-based secrets, and clean dependency...

你可能需要花时间整理材料,把问题发给大模型,review大模型给的答案,再去尝试理解某些晦涩的概念,并判断大模型的回答是否足够可信。忙完以上的一切,还要忙着去除人机味