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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.
Create, edit, and export flowcharts with visual syncing and full node control.
Use natural language to build, manage, and run Langflow workflows.
Control agent workflows with stateful primitives and persisted execution facts.
Connect AI assistants to Langflow to build, manage, and automate workflows.
Chat with AI to retrieve documents and trigger MCP-powered tools.
Connect to the Webflow Data API to query, manage, and automate site content.