Do I need to host Flowise myself?

Yes, this MCP is designed to connect to your self-hosted FlowiseAI instance.

Which AI clients can I use with this MCP?

You can use any MCP-compatible client, including Claude, Cursor, and Windsurf.

Can I update my RAG data through the chat?

Yes, you can use the upsert capability to push new data into your chatflow's vector store.

How do I see the leads my bots have collected?

You can ask your agent to list the leads captured by your flows using the built-in capabilities.

Is my Flowise API key secure?

Vinkius manages your credentials securely so you can connect your client once and stay connected.

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.

An astronaut overseeing a futuristic data hub

Download PDF Markdown Version

Connect FlowiseAI to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run and manage your entire AI workflow through conversation.

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.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 12 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 12 available through FlowiseAI.

01
Upsert vector data
This capability pushes new documents or raw data directly into your chatflow's vector store.
02
List AI assistants
This capability lists all OpenAI-style assistants available in your instance.
03
List flowise credentials
Use this to see the credentials currently set up in your Flowise instance.
04
List flow leads
This capability pulls a list of all leads captured by your chatflows.

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 12 available through FlowiseAI.

05
List marketplace templates
This capability shows the available chatflow templates in the Flowise marketplace.
06
List external tools
This capability retrieves a list of all custom capabilities you have configured in Flowise.
07
List flow variables
Use this to view the global variables defined within your Flowise environment.
08
Execute chatflow prediction
This capability triggers a specific chatflow to generate a response based on your input.

Capability set03 / 03

09-12

4 capabilities in this set.

Part of 12 available through FlowiseAI.

09
Get server version
This capability checks the current version of your Flowise instance.
10
List chatflows
This capability returns a list of all your LLM orchestration flows.
11
List chat feedback
This capability pulls the user feedback submitted for your chatflows.
12
Get chatflow details
This capability retrieves the technical metadata and structure for a specific chatflow.

Real work

What teams actually run

Rapid Flow Testing

An engineer sends a prompt to their agent to trigger a specific chatflow and verify the output immediately.

Automated Knowledge Updates

A data engineer sends a block of text to the agent to upsert it into a RAG pipeline's vector store.

Lead Tracking

A product manager asks the agent to list recent leads captured by a customer support bot.

System Auditing

A developer checks the current Flowise version and global variables to ensure environment consistency.

Automate a task

Put FlowiseAI to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

FlowiseAI works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put FlowiseAI to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

876ms average. Fast in production.

FlowiseAI is checked daily against the live service.

Daily averagePeak 1064ms

Oct 3Today

Fastest day: 713ms
Slowest day: 1064ms
14-day trend: Improving-18%

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.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
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

Guided setup for Claude? Set up FlowiseAI in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work FlowiseAI owners hand off.

This MCP is built for technical users who manage their own LLM infrastructure and want to interact with it through an AI agent.

01
AI Developers
They use the MCP to test and trigger complex orchestration flows without using the Flowise UI.
02
Data Engineers
They automate the process of feeding documents into vector stores via their AI client.
03
Product Managers
They monitor chatflow performance and review captured leads through simple commands.

FAQ

Questions FlowiseAI owners ask.

01
Do I need to host Flowise myself?
Yes, this MCP is designed to connect to your self-hosted FlowiseAI instance.
02
Which AI clients can I use with this MCP?
You can use any MCP-compatible client, including Claude, Cursor, and Windsurf.
03
Can I update my RAG data through the chat?
Yes, you can use the upsert capability to push new data into your chatflow's vector store.
04
How do I see the leads my bots have collected?
You can ask your agent to list the leads captured by your flows using the built-in capabilities.
05
Is my Flowise API key secure?
Vinkius manages your credentials securely so you can connect your client once and stay connected.
06
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.
07
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.
08
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.

Explore

More in Friends

Connect FlowiseAI to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Upsert vector data

List AI assistants

List flowise credentials

List flow leads

05-08

List marketplace templates

List external tools

List flow variables

Execute chatflow prediction

09-12

Get server version

List chatflows

List chat feedback

Get chatflow details

What teams actually run

Rapid Flow Testing

Automated Knowledge Updates

Lead Tracking

System Auditing

Building your own app? The connector is yours to use.

FlowiseAI Connector

Claude Desktop

AI Developers

Data Engineers

Product Managers

Do I need to host Flowise myself?

Which AI clients can I use with this MCP?

Can I update my RAG data through the chat?

How do I see the leads my bots have collected?

Is my Flowise API key secure?

How do I find my API Key in Flowise?

Does this support multi-tenant instances?

Can I push documents to vector stores via AI?

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