Langflow

Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.

Installation

Installing for Claude Desktop

Option 1: One-Command Installation

npx mcpbar@latest install caiomioto2/langflow -c claude

This command will automatically install and configure the Langflow MCP server for your selected client.

Option 2: Manual Configuration

Run the command below to open your configuration file:

npx mcpbar@latest edit -c claude

After opening your configuration file, copy and paste this configuration:

View JSON configuration

{
  "mcpServers": {
    "Langflow": {
      "command": "uvx",
      "args": [
        "langflow"
      ],
      "env": {}
    }
  }
}

Visit Langflow

Langflow

Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.

Docs - Free Cloud Service - Self Managed

✨ Core features

Python-based and agnostic to models, APIs, data sources, or databases.
Visual IDE for drag-and-drop building and testing of workflows.
Playground to immediately test and iterate workflows with step-by-step control.
Multi-agent orchestration and conversation management and retrieval.
Free cloud service to get started in minutes with no setup.
Publish as an API or export as a Python application.
Observability with LangSmith, LangFuse, or LangWatch integration.
Enterprise-grade security and scalability with free DataStax Langflow cloud service.
Customize workflows or create flows entirely just using Python.
Ecosystem integrations as reusable components for any model, API or database.

Integrations

📦 Quickstart

Install with uv (recommended) (Python 3.10 to 3.12):

uv pip install langflow

Install with pip (Python 3.10 to 3.12):

pip install langflow

Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
Hugging Face: Clone the space using this link to create a Langflow workspace.

⭐ Stay up-to-date

Star Langflow on GitHub to be instantly notified of new releases.

Star Langflow

👋 Contribute

We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.

❤️ Contributors

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