Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Langflow with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Orchestrate multi-agent AI workflows visually. execute flows, manage projects, and trigger webhooks directly from any AI agent.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 24 capabilities

The complete Langflow capability set.

These are the exact actions your AI can choose when you ask it to work with Langflow.

Capability set01 / 06

01-04

4 capabilities in this set.

Part of 24 available through Langflow.

  1. 01

    Create project

    Create a new project

  2. 02

    Delete file v2

    Delete a file (v2)

  3. 03

    Delete flow

    Delete a flow

  4. 04

    Delete project

    Delete a project

Capability set02 / 06

05-08

4 capabilities in this set.

Part of 24 available through Langflow.

  1. 05

    Get file v2

    Download a file (v2)

  2. 06

    Get flow

    Get a specific flow by ID

  3. 07

    Get logs

    Retrieve recent logs

  4. 08

    Get monitor messages

    Retrieve chat history

Capability set03 / 06

09-12

4 capabilities in this set.

Part of 24 available through Langflow.

  1. 09

    Get monitor traces

    Retrieve execution traces and span trees

  2. 10

    Get project

    Get project details

  3. 11

    List files v1

    List files for a specific flow (v1)

  4. 12

    List files v2

    List user files (v2)

Capability set04 / 06

13-16

4 capabilities in this set.

Part of 24 available through Langflow.

  1. 13

    List flows

    List all flows

  2. 14

    List projects

    List all projects

  3. 15

    List users

    List all users (requires superuser)

  4. 16

    Trigger webhook

    Trigger a Langflow webhook

Capability set05 / 06

17-20

4 capabilities in this set.

Part of 24 available through Langflow.

  1. 17

    Update flow

    Update an existing flow

  2. 18

    Whoami

    Get current authenticated user info

  3. 19

    Update project

    Update project info

  4. 20

    Create flow

    Create a new flow

Capability set06 / 06

21-24

4 capabilities in this set.

Part of 24 available through Langflow.

  1. 21

    Create response

    Uses flow_id as the model. OpenAI compatible responses endpoint

  2. 22

    Get monitor transactions

    Retrieve component interaction logs

  3. 23

    Run flow

    Supports chat or text inputs. Execute a Langflow flow

  4. 24

    Run workflow

    Run a workflow (v2 API)

Observed, not estimated

998ms average. Fast in production.

Langflow is checked daily against the live service.

Daily averagePeak 1204ms
Aug 20Today
Fastest day
851ms
Slowest day
1204ms
14-day trend
Stable+2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 24 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Langflow, so you can see the experience inside your AI.

It does not authenticate your account with Langflow. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Langflow Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_SsoeJOXDcMZ5NDD4MrW7XRXB6MCQXkWhm3WbCM4n/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Langflow capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "langflow-visual-multi-agent-orchestrator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_SsoeJOXDcMZ5NDD4MrW7XRXB6MCQXkWhm3WbCM4n/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Langflow owners ask.

  • 01

    Can I run a flow using its name instead of a long UUID?

    Yes! The run_flow capability accepts either the Flow ID or the Flow Name in the flow_id parameter, making it easy to trigger specific logic by name.

  • 02

    How do I see all the available projects and folders in my Langflow instance?

    Use the list_projects capability. It will return a list of all projects (folders) which help organize your flows and components.

  • 03

    Is it possible to trigger a flow from an external webhook payload?

    Absolutely. Use the trigger_webhook capability by providing the flow_id and the data JSON payload you want to send to the flow's entry point.

Explore

More in Developer Tools

Suggestions