Langflow is an open-source, Python-based tool for building AI agents and workflows in a visual editor, then serving them as an API or an MCP server.
In plain words
In Langflow you build a flow by linking components, such as a model, a prompt, a vector store or a tool, in a visual editor. You can test the flow straight away, and because it is Python underneath, you can open any component and change its code. A finished flow can be deployed as an API, exported as JSON for a Python app, or exposed as an MCP server so other AI clients can use it as a tool.
A quick example
Imagine building a tool that answers questions about a set of reports. In Langflow you connect a file loader, a vector store, a prompt and a chat model, test it in the editor, and then deploy it as an MCP server, so an assistant such as an MCP-capable coding tool can call your flow as one of its tools.
Where you'll meet it
- Prototyping chatbots and document analysis apps.
- Building agentic applications.
- Turning workflows into MCP tools.
Related
Sources
- DocsLangflow documentation, Langflow · read 29 Sept 2026
- Docslangflow-ai/langflow, Langflow (GitHub) · read 29 Sept 2026
Checked by WhatIsAI against the sources above · 29 Sept 2026. Spotted an error? Report it.