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
Model Context Protocol, or MCP, is an open protocol that standardizes how applications provide context to LLMs.
OmniMCP provides rich UI context and interaction capabilities to AI models through Model Context Protocol (MCP) and microsoft/OmniParser.
A distributed runtime system for federated AI services with edge computing capabilities.
Implementation of a model context protocol (MCP) client that connects to an MCP server using HTTP streamable (recommended) transport and displays the conversation in a chat-like UI.
A comprehensive collection of courses and tutorials for learning the - an open protocol that standardizes how AI applications connect to external tools and data sources.
This implementation is based on the Model Context Protocol (MCP) put forward by Anthropic. For more information on MCP, please have a look at their official documentation.
Index your documentation from across the sources and serve it via the Model Context Protocol (MCP) and REST API.
The is a professional-grade Python implementation of the . It provides a structured environment for Large Language Models (LLMs) to interact with external tools and knowledge bases through a...
⚠️ : This registry is currently in active development and testing phase. The API and data structure may change. Not recommended for production use yet.
guMCP is an open-source collection of Model Context Protocol (MCP) servers that can be run both remotely and locally.
MCP server that gets Claude to 97.9% (188/192) on a real coding benchmark at -80% active tokens and -83% wall time, vs 78.3% plain. Structural code navigation + persistent memory engine.
Official CLI for muapi.ai — generate images, videos & audio from the terminal. MCP server, 14 AI models, npm + pip installable.
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).