Claude Desktop 安装指南
支持本地 MCP 配置的桌面客户端。
MCP Servers
Discover, install and manage MCP servers on macOS
Agents write markdown — easy-notion-mcp converts it to Notion's block API and back again.
Test tenants sit empty. Static test data does not exercise real workflows. When you need agents that send real emails, schedule real meetings, and collaborate in real Teams channels, mocks and stubs...
Local MCP server for YNAB with read-only defaults, full API coverage, safe write controls, and support for budgets, transactions, categories, accounts, and reporting.
Python MCP Server for Kestra — you can use it as a tool in Kestra's AI Agents
with the integration of DeepSeek R1's advanced reasoning engine. This server enables Claude to tackle complex reasoning tasks by leveraging the reasoning capabilites of deepseek r1 model.
🦞 A Digital Life Embryo for your MCP Client. An intelligent micro-kernel with Nociception, Memory Apoptosis, and a Curiosity Drive.
mcpn.ai helps you create, organize, and share AI workflows and prompts. Like a dynamic prompt library you can share & version across MCP tools and servers for specific tasks.
A Visual Studio Code extension to connect to Siemens TIA Portal and interact with TIA Portal projects directly from VS Code with GitHub Copilot.
A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats and learn from past errors through a lesson system.
A production-ready iOS automation MCP server built with FastMCP 2.0, featuring clean modular architecture with complete platform segregation.
High Performance MCP server + client for Windows and macOS computer control built in Rust. Screenshot, mouse, keyboard, clipboard, and app management — all in-process via Rust NAPI.
Agent Skills
Molecode presents molecules as code and enables LLMs to operate and reason on chemistry directly. Instead of making language models reconstruct molecular structure from cryptic strings, MoleCode lets...
An agent skill for managing isolated execution environments
The skills I actually use to build software with coding agents. Straight out of my .claude/skills/ folder.
The #1 Kubernetes skill for Claude Code and Codex, measured by GitHub stars.
ProductSpec is the open standard for product intent. It acts as a Product Harness for AI-native software work: what to build, what not to build, how to prove completion, and when intent changes.
AI agents like Claude Code ship features fast. AIDD Framework keeps them working, secure, and maintainable.
中文内部技术写作的 agent skill。约束设计文档、评审稿、postmortem、分享稿等场景的语气、句法、结构，让产出贴近技术汇报，避开营销稿和散文气质。
Local-first harness for agent-built codebases. Humans steer, agents execute, maestro is the substrate.
一句话：输入一个基金代码，Agent 把基金经理 8 年的每一笔买卖翻出来，拿 12 个月后的真实走势逐笔验对错，最后吐出一份 700KB 的单文件交互报告——K 线战役回放、买卖点验尸、独立性审判、造神检测，全都有。
An AI Agent skill that wraps the Bitget Wallet API, enabling natural-language-driven on-chain data queries and swap operations.
A multi-agent marathon simulation built with Google ADK and Gemini. AI agents plan a marathon route through Las Vegas, simulate the environment around it (weather, traffic, crowds), and run the race...
Together they produce a structured Markdown test plan and a findings report with 10-state verdicts and an explicit SUT / harness / checker / environment blame classification.