Use Flowise with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Manage low-code AI workflows via Flowise. run predictions, track chatflows and agentflows, handle capabilities, and audit execution history directly from any AI agent
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.
Complete set · 7 capabilities
The complete Flowise capability set.
These are the exact actions your AI can choose when you ask it to work with Flowise.
01-04
4 capabilities in this set.
Part of 7 available through Flowise.
- 01
Get history
Get chat execution history
- 02
List credentials
List credentials
- 03
Get chatflow
Get chatflow details
- 04
List agentflows
List agentflows
05-07
3 capabilities in this set.
Part of 7 available through Flowise.
- 05
List chatflows
List chatflows
- 06
List tools
List available capabilities
- 07
Predict
Run prediction on chatflow
Observed, not estimated
847ms average. Fast in production.
Flowise is checked daily against the live service.
- Fastest day
- 679ms
- Slowest day
- 1141ms
- 14-day trend
- Slowing+9%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 7 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 Flowise, so you can see the experience inside your AI.
It does not authenticate your account with Flowise. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
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"
}
}
}
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 Flowise owners ask.
- 01
Can my agent run a prediction against a specific Flowise chatflow?
Yes. Use the 'predict' capability. Provide the 'chatflow_id' and your question. The agent will command the Flowise backend to process the logic chain and return the AI-generated response directly in your chat.
- 02
How do I see the past conversational logs for a chatflow via chat?
Use the 'get_history' capability with the 'chatflow_id'. Your agent will retrieve the past execution traces and logs, helping you understand how users have interacted with that specific logic chain natively.
- 03
Can I list all custom capabilities configured in my Flowise instance through the agent?
Absolutely. Use the 'list_tools' capability. Your agent will retrieve custom capabilities and integrations configured in your environment, allowing you to audit available capabilities through natural conversation.
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