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

把小米 MiMo 全模态能力(对话/图像/视频/TTS/声音克隆)封装成 stdio MCP Server,Claude Code 与 Codex 可直接调用

An AI-driven MCP server that autonomously interfaces with Malware Bazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.

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blender-ai-mcp lets Claude, ChatGPT, Codex, and other MCP clients control Blender through a stable tool API instead of ad-hoc Python generation.

MeteoSwiss Open Data — Python API, CLI & MCP server · tabular as DataFrames/Parquet, gridded as xarray/Zarr

MCP-Anything turns any data source into a fully implemented MCP server — from a plain-language brief describing what agents should be able to do.

GUI + MCP control plane for your local dev servers. Humans click, agents automate the same daemon.

PlatformIO MCP is the open-source, agent-first hardware execution layer for embedded development.

An MCP server that delivers cryptocurrency sentiment analysis to AI agents, leveraging Santiment's aggregated social media and news data to track market mood and detect emerging trends.

A protoc plugin for generating mcp servers in golang from a protocol buffer specification

小叶发布器:连接浏览器登录态与 MCP/AI 客户端,一键提取文章并保存到公众号、知乎、掘金、CSDN 等平台草稿箱,适合自媒体作者和开发者本地自动化发布。

An MCP server that allows you to run Node.js scripts and npm commands, with permission prompts via node-notifier.
Agent Skills

Generate and evaluate agent skills based on traces with agents. Create skills with teacher models (expensive/slow) that student models (cheap/fast) can use to perform harder tasks reliably.

(asm) is a scriptable CLI built for AI agents and automation — install, search, audit, and organize skills across Claude Code, Codex, Cursor, and 16 more tools.

Codex skills for translating market information into testable investment research frameworks.

A collection of Agent skills and Claude Code plugins for HashiCorp products.

An Agent Skill that reviews scientific and engineering manuscripts for writing quality, applying the methodology from Dr. Kristin Sainani's Writing in the Sciences course at Stanford (2012).

The central challenge in AI development isn't a lack of ideas, but the inconsistent process of turning them into robust, reliable skills.

Experimental skill — will iterate over time. Please send your feedbacks in github issues.

Reusable Agent Skills for single-page SEO auditing. Give it a URL — get a structured HTML report with actionable findings.

The easiest way to evaluate your Agent Skills. Tests that AI agents correctly discover and use your skills.

AI-powered article illustrations with intelligent position detection and cover learning system. Claude Code Skill.

基于 Sorftime MCP 服务和 Claude Skills 的亚马逊分析工具集。

See the Feishu doc version of this intro (with usage-scenario showcases).