Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
It gives agents a safe, inspectable, token-efficient way to without falling back to brittle UI automation.
Expose 2slides.com tools for MCP clients (e.g., Claude Desktop).
An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant.
baidu netdisk mcp server
- A universal MCP server for document processing, conversion, and automation. Handle PDF, DOCX, HTML, Markdown, and more through a unified API and toolset.
This is a research project. I have many other things going on and OpenProphet is not at the top of my backlog. The paid templates and guides at openprophet.
Claude Code/Codex/Cursor/OpenCode/Gemini GL
MCP server for . Index your codebase once, then search using natural language.
Qwen3-30B-A3B-Thinking via OpenRouter plus multi-source web synthesis with citations.
MCP Serverの設定（Cursor、Claude Desktop）を参考に、mcp.jsonまたはclaude_desktop_config.jsonに以下を追記してください。 LAPRAS_API_KEYは職歴関連のツールを使う場合のみ必要です。https://lapras.com/config/api-key から取得できます。
icloud-mcp covers seven Apple services with two interchangeable backends, and as far as we know it is the only MCP server that does.
A code and document intelligence server that indexes Git repositories and provides search through MCP and REST APIs.
Agent Skills
The Best AI Agent Framework for Agent Collaboration.
The open sharing protocol for the agentic era. A Linux Foundation AI & Data Project
Agent Skills
- : Turn your idea into a video using your coding agent. - : Edit and animate using drag and drop. - : Connect to data, and manage complexity with code.
Reverse-engineer any design system into a Claude-ready skill. Pure static analysis. No AI. No API keys.
Craft AI-driven interface effortlessly🤖
Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents
- [2026/05/01] 🔥 (📃Paper) has been released.
A Claude Code of the skills we share at AI Builder Club for building : agents that get triggered on their own, pick up work, ship it, verify it, and log what they learned, so the work compounds...
"To achieve great things, two things are needed: a plan and not quite enough time." - attributed to Leonard Bernstein
Commonplace studies how agentic systems can change after deployment through inspectable knowledge artifacts.
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.