langflow
A powerful Python-based visual framework for building and deploying AI-powered agents and workflows with Model Context Protocol (MCP) integration, drag-and-drop interface, and enterprise-grade deployment options
npx skills add majiayu000/claude-skill-registry --skill langflow-backup-20251230-191240 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Langflow - Visual AI Workflow Platform ## Overview **Langflow** is an open-source, Python-based platform for building and deploying AI-powered agents and workflows through a visual drag-and-drop interface. With 142,000+ GitHub stars and used by 1,500+ projects, Langflow enables rapid prototyping of AI applications without requiring extensive coding knowledge. ## Key Features ### 🎨 Visual Development Environment - **Drag-and-Drop Canvas**: Build complex AI workflows visually by connecting component nodes - **Interactive Playground**: Test and debug flows in real-time without full stack development - **Component Library**: 200+ pre-built components for LLMs, data sources, agents, tools, and MCP servers - **Custom Components**: Full Python customization for specialized use cases ### 🤖 Agent & MCP Integration - **AI Agents**: LLM-powered agents with autonomous tool selection and execution - **MCP Client & Server**: Built-in Model Context Protocol support for tool integration - **Multi-Agent Coordination**: Orchestrate multiple agents working together - **Tool Ecosystem**: Calculator, Web Search, URL fetcher, file operations, and custom tools ### 🚀 Deployment Options - **Local Deve
- Overview
- Key Features
- 🎨 Visual Development Environment
- 🤖 Agent & MCP Integration
- 🚀 Deployment Options
- 🔧 Production Features
- Architecture
- Component-Based Design
- Component Categories
- MCP Integration Architecture
- Installation
- Prerequisites
- Quick Start (Python Package)
- Docker Installation
Create virtual environment uv venv langflow-env Activate environment source langflow-env/bin/activate Install Langflow uv pip install langflow Launch uv run langflow run Access at http://127.0.0.1:7860 docker run -p 7860:7860 langflowai/langflow:latest
What does the langflow skill do?
A powerful Python-based visual framework for building and deploying AI-powered agents and workflows with Model Context Protocol (MCP) integration, drag-and-drop interface, and enterprise-grade deployment options
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langflow-backup-20251230-191240 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.