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Expose local Flowise chatflows as MCP tools for listing and execution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-flowise" yet — see the docs or source repo.
List all available chatflows in the local Flowise instance, including name, ID, purpose, and group them by business scenario.
A structured inventory of callable local Flowise chatflows with identifiers and categorized purposes.
Run the chatflow named "Customer Support Summary" with this input: Summarize this support conversation and output issue summary, sentiment, and follow-up actions.
The chatflow returns a structured result such as a summary, analysis, and recommended next steps.
From the current MCP client, call the local Flowise content-generation chatflow to draft a marketing email about a new product launch.
A marketing email draft generated by the local Flowise workflow, ready for editing or sending.
Connect to Flowise to manage flows, run predictions, and automate analysis.
Connect to the Flow Team API via MCP for project and participant management.
Control agent workflows with stateful primitives and persisted execution facts.
Chat with AI to retrieve documents and trigger MCP-powered tools.
Expose Node-RED flows as OAuth-protected MCP tools for AI assistants.
Connect to the Webflow Data API to query, manage, and automate site content.