- LOGIC
- FLOWS
- DEBUG
- HUMAN
Short answer
How can I test my RAG logic without leaving my IDE?
You can trigger live predictions on any existing Flowise chatflow using your AI client. This lets you verify how your RAG logic responds to specific prompts in real time. You'll see exactly how your retrieval and generation steps behave with new data.
Testing outcomes
Where your results land.
What happens when you run a test.
LOGIC
Verify RAG accuracy
The AI runs a prediction on a specific chatflow. You get immediate feedback on whether your retrieval logic is pulling the right context.
FLOWS
Identify target flows
The AI pulls a list of your available chatflows. This ensures you are testing the exact version of the pipeline you intended.
DEBUG
Spot logic errors
By sending varied inputs, you can see where the chain breaks. This helps you refine your prompts or vector store queries.
HUMAN
Manual adjustments
The AI cannot modify your Flowise nodes. You'll need to jump into the Flowise UI if you decide to change the actual graph structure.
The workflow
What your AI does when the test starts.
The AI acts as the bridge between your chat interface and your Flowise environment.
Find your flows
The AI looks up your existing work in Flowise so you can pick which pipeline to test.
list_chatflowsSelect a target
You tell the AI which specific chatflow ID you want to run a test against.
list_chatflowsExecute prediction
The AI sends your test prompt to the Flowise engine to get a live response.
predictDeliver response
The AI presents the output from the chatflow directly in your current chat window.
predict
Try it
Copy these to start.
Use these prompts to begin testing your pipelines.
Starting points
These are starting points. Replace the specific flow names with your actual Flowise chatflow titles.
Flowise Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_x0CXvywaUNOIkFSe5hI4681xfnamFZZaTdsop8is/mcpClaude 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 — Flowise capabilities are ready to use.
{
"mcpServers": {
"flowise-mcp": {
"url": "https://edge.vinkius.com/vk_preview_x0CXvywaUNOIkFSe5hI4681xfnamFZZaTdsop8is/mcp"
}
}
}List my Flowise chatflows so I can see what's available.
Run a prediction on the 'Customer Support RAG' flow with the input 'How do I reset my password?'
Show me all my chatflows, then test the 'Legal Document Analyzer' with this text: [paste text].
Which chatflows do I have currently active in Flowise?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Flowise once, then ask.
Just link your Flowise instance to Vinkius. Your credentials stay encrypted, and you can start testing immediately.
Connect Flowise to your AIFAQ
Common questions
- 01
Can the AI change my Flowise nodes?
No. The AI can only run predictions or list flows. You must use the Flowise UI to edit your logic or nodes.
- 02
Can I delete a chatflow through my AI client?
No. This MCP only provides tools to list and predict. It does not have permission to delete or modify your flows.
- 03
Do I need to keep the Flowise dashboard open?
No. Once connected, your AI client communicates with Flowise through the Vinkius host.
- 04
Can I test multiple inputs at once?
You can ask your AI to run multiple predictions one after another, but it executes them as individual requests.
- 05
How does the AI know which flow to use?
You can either tell it the specific name or ID, or ask it to list your flows first so you can identify the right one.
More questions about Flowise? See everything the Flowise Connector can do
Connect Flowise to Claude, Cursor, ChatGPT & more
