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Vinkius

FlowiseAI Connector for AI agents.

12 live capabilities

Run and manage RAG pipelines and LLM chatflows from your chat window.

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Why people use FlowiseAI

FlowiseAI RAG Pipeline Management

With this Connector, you can handle that entire cycle from a single chat window. Just tell your agent to push new data into your vector store, and it handles the connection to your Flowise instance. You get immediate confirmation that the context is updated, letting you focus on refining your prompts instead of managing files.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a way to run and manage your Flowise workflows without leaving your chat window.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Testing RAG accuracy

    A developer asks the agent to run a specific flow with a test prompt to see if the vector store is returning the right context.

  2. Real-world use case 02

    Automated data ingestion

    A data engineer tells the agent to push a new batch of documents into the vector store for a specific chatflow.

  3. Real-world use case 03

    Lead tracking

    A product manager asks for a summary of all leads captured in the last 24 hours from the Sales Bot flow.

Complete set · 12capabilities

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 Capability

    List chatflows

    List all LLM orchestration flows. Use this to see what's currently active in your Flowise instance.

  2. 02 Capability

    List flowise credentials

    List configured credentials. This helps you manage access keys across your entire environment.

  3. 03 Capability

    List chat feedback

    List user feedback for a chatflow. Use this to see what your users actually think of your bots.

  4. 04 Capability

    List flow leads

    List captured leads. It's a quick way to see who is interacting with your AI flows.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 12 available through FlowiseAI.

  1. 05 Capability

    List external capabilities

    List custom capabilities. Use this to understand what extra actions your agent can take.

  2. 06 Capability

    Execute chatflow prediction

    Trigger an LLM flow prediction. This lets your agent actually run the logic and give you an answer.

  3. 07 Capability

    Upsert vector data

    Push data into a vector store. It keeps your RAG context fresh without manual uploads.

  4. 08 Capability

    Get chatflow details

    Get details for a specific chatflow. This is great for deep-diving into how a flow is built.

Capability set03 / 03

09—12

4 capabilities in this set.

Part of 12 available through FlowiseAI.

  1. 09 Capability

    Get server version

    Get Flowise version. Use this to ensure your instance is up to date.

  2. 10 Capability

    List ai assistants

    List your OpenAI-style assistants. This helps you keep track of all the specialized agents you've built.

  3. 11 Capability

    List marketplace templates

    List chatflow templates. This helps you find starting points for new projects.

  4. 12 Capability

    List flow variables

    List global variables. This helps you manage settings that apply to your entire Flowise setup.

Set up in minutes

One URL. Then ask FlowiseAI to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use FlowiseAI from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_lh0zyPoJJj1xxwGDq27KDGRA6H9DV4YmiVFcM13z/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it FlowiseAI, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable FlowiseAI for the conversation.

Where the request belongs

Work FlowiseAI can move forward.

Built around the request

You're likely an AI engineer or a data person who's tired of manual testing. You need a way to interact with complex flows without the constant context switching between your browser and your code.

01

AI Engineer

Testing complex logic in FlowiseAI by running chatflows via natural language queries on a Tuesday afternoon.

02

Data Engineer

Automating the ingestion of new documents into RAG vector stores without manually uploading files.

03

Product Manager

Checking lead counts and user feedback from FlowiseAI flows without opening a separate dashboard.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Voiceflow logo
01 12 capabilities

Voiceflow

Design, prototype, and launch conversational AI agents with a visual builder that handles complex dialog flows without code.

View Connector
Flowise logo
02 7 capabilities

Flowise

Manage low-code AI workflows via Flowise. run predictions, track chatflows and agentflows, handle capabilities, and audit execution history directly from any AI agent.

View Connector
VectorShift (AI Workflow & RAG Automation) logo
03 29 capabilities

VectorShift (AI Workflow & RAG Automation)

Automate AI workflows and RAG via VectorShift. manage pipelines, query knowledge bases, and deploy chatbots directly from any AI agent.

View Connector
Dify logo
04 6 capabilities

Dify

Manage agentic workflows via Dify. send chat messages, track conversations, audit app parameters, and handle file uploads directly from any AI agent.

View Connector
Chaindesk logo
05 11 capabilities

Chaindesk

Build no-code AI agents trained on your own data that handle customer support, lead qualification, and FAQ resolution.

View Connector
Langflow (Visual Multi-agent Orchestrator) logo
06 24 capabilities

Langflow (Visual Multi-agent Orchestrator)

Orchestrate multi-agent AI workflows visually. execute flows, manage projects, and trigger webhooks directly from any AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep FlowiseAI connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
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  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
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  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about FlowiseAI.

The practical details behind the request, access and result.

Can I use FlowiseAI with my existing self-hosted setup?

Yes. You just need to provide your Flowise instance URL and your API key. The Connector will then connect your AI client directly to your backend.

How does FlowiseAI help with RAG pipelines?

It allows your agent to push new data into your vector stores automatically. This keeps your RAG context fresh without you having to manually upload files.

Can my agent see the leads I've collected?

Yes, it can. You can ask your agent to list captured leads from any of your active flows to see who is interacting with your bots.

Does FlowiseAI work with any AI client?

It works with any MCP-compatible client, including Claude, Cursor, and Windsurf, giving you a unified way to manage your flows.

How do I update my vector store data using FlowiseAI?

Simply tell your agent to push the data you want to update. It will handle the communication with your Flowise instance to update the vector store.

Can I see the technical details of my flows?

Yes. You can ask your agent to pull the technical structure and metadata for any specific flow to see exactly how it's built.

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.

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.

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.

One connection away

Give your agent a direct line to FlowiseAI.

Connect FlowiseAI once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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