Flowise

About

Enables seamless integration of Flowise chatflows and assistants within Model Context Protocol (MCP) workflows, offering dynamic tool exposure and simplified configuration through two modes: LowLevel mode for dynamic tool registration and FastMCP mode for static tool exposure, both supporting flexible chatflow filtering via whitelists and blacklists.

Key Features

• Supports filtering chatflows via whitelists and blacklists by IDs or names (regex).
• Exposes `list_chatflows` and `create_prediction` tools for minimal setup (FastMCP mode).
• Dynamically registers tools for each chatflow or assistant (LowLevel mode).
• Integrates seamlessly into MCP workflows.
• Offers flexible configuration options through environment variables.

Use Cases

• Creating a standardized interface for interacting with multiple Flowise instances.
• Integrating Flowise-powered chatbots into MCP-based applications.
• Dynamically exposing chatflows as tools within an AI agent.