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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use FlowiseAI with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Build LLM orchestration flows visually with a drag-and-drop interface for creating AI chatbots, agents, and RAG pipelines.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 12 capabilities

The complete FlowiseAI capability set.

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

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 12 available through FlowiseAI.

  1. 01

    List external tools

    List custom capabilities

  2. 02

    List flowise credentials

    List configured credentials

  3. 03

    List flow leads

    List captured leads

  4. 04

    Upsert vector data

    Push data into a vector store

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 12 available through FlowiseAI.

  1. 05

    List AI assistants

    List OpenAI-style assistants

  2. 06

    List flow variables

    List globalThis variables

  3. 07

    Execute chatflow prediction

    Trigger an LLM flow prediction

  4. 08

    Get chatflow details

    Get details for a specific chatflow

Capability set03 / 03

09-12

4 capabilities in this set.

Part of 12 available through FlowiseAI.

  1. 09

    Get server version

    Get Flowise server version

  2. 10

    List chat feedback

    List user feedback for a chatflow

  3. 11

    List chatflows

    List all LLM orchestration flows

  4. 12

    List marketplace templates

    List chatflow templates

Observed, not estimated

924ms average. Fast in production.

FlowiseAI is checked daily against the live service.

Daily averagePeak 1117ms
Aug 20Today
Fastest day
714ms
Slowest day
1117ms
14-day trend
Improving-6%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 12 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 FlowiseAI, so you can see the experience inside your AI.

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

FlowiseAI Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_lh0zyPoJJj1xxwGDq27KDGRA6H9DV4YmiVFcM13z/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 — FlowiseAI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "flowiseai-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_lh0zyPoJJj1xxwGDq27KDGRA6H9DV4YmiVFcM13z/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 FlowiseAI owners ask.

  • 01

    How do I find my API Key in Flowise?

    Log in to your Flowise dashboard and click on the API Keys tab in the sidebar to generate or copy your unique token.

  • 02

    Does this support multi-tenant instances?

    Yes! Ensure you provide the full Instance URL and the API Key corresponding to the specific environment you want to manage.

  • 03

    Can I push documents to vector stores via AI?

    Absolutely. Use the upsert_vector_data capability by providing the chatflow_id and the JSON payload containing your document data.

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