Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Open-source NURBS surface modeller — a Rhino-style freeform modeller on the OpenCASCADE kernel, with AI-native MCP integration
The local-first knowledge layer for AI development.
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
开源金融数据 MCP / HTTP 服务，面向 AI Agent、量化脚本和普通后端集成。
No Microsoft Graph API, no Entra app registration, no OAuth tokens — just your local Outlook and the authentication you already have.
A Docx document processing service based on the FastMCP library, supporting the creation, editing, and management of Word documents using AI assistants in Cursor.
MCP server to extract contents from a PDF file
让 ChatGPT 通过 MCP 调用本机原生 Codex 会话的轻量 Windows 桥接器。
](https://github.com/rust-mcp-stack/rust-mcp-sdk/actions/workflows/ci.yml) ](examples/hello-world-mcp-server-stdio)
Local-first persistent memory for Claude Code & Codex CLI - Rust CLI, hooks, MCP server, SQLite/SQLCipher, auditable recall for long-running coding work.
Local semantic code index and MCP server for Claude Code, Codex, and opencode. Includes semantic search, reuse checks, impact analysis, and a VS Code chat and agent supporting local CLIs and API...
Local macOS control server for MCP clients and Custom GPT Actions
Agent Skills
265 Rust rules your AI coding agent can use to write better code. Current for Rust 1.96 (2024 edition).
面向硬件产品的PCB方案设计 AI Agent。输入产品需求，输出可评审、可落地的PCB原理图的方案。
Code is cheap. Context, control, and evidence are not. Let the model move the work forward. Let the human own goals, boundaries, permissions, checkpoints, evidence, and acceptance.
Built from practice, not theory — calibrated against real deals including vLLM/Inferact ($150M @ $800M) and Hugging Face ($235M @ $4.5B).
Personal AI assistant built on agentsdk-go.
(maintained by the authors): - https://github.com/minicoohei/ai-agent-camp Running AI agents from this repo grants them shell, file-write, and external-API permissions on your machine.
An AI coding assistant skill for creating, compiling, reviewing, and polishing academic presentations.
Run any coding agent, on any OS, from desktop or phone . just terminals. no abstractions.
Portable operating instructions for AI agents controlling Android and iOS devices—locally or in the cloud.
Skills that translate your coding agent's output into plain language: honest reports, straight verdicts, steps you can follow. MIT.
skill infrastructure for multi-agent projects
Make AI coding agents remember your project between sessions.