Flowise FAQs

Question 1

What are the key features of Flowise MCP?

Accepted Answer

Key features include dynamic tool registration, simple configuration options via FastMCP mode, flexible chatflow filtering, and seamless integration into MCP ecosystems.

Question 2

What is Flowise MCP?

Accepted Answer

Flowise MCP integrates Flowise chatflows and assistants into a Model Context Protocol (MCP) environment, allowing you to use your chatflows as tools within MCP workflows.

Question 3

What is FastMCP mode and how does it differ from LowLevel mode?

Accepted Answer

FastMCP mode provides static `list_chatflows` and `create_prediction` tools for simpler configurations. LowLevel mode dynamically registers tools for each individual chatflow, offering greater flexibility.

Question 4

What environment variables do I need to configure Flowise MCP?

Accepted Answer

You'll need `FLOWISE_API_KEY` (your Flowise API token) and `FLOWISE_API_ENDPOINT` (the base URL for your Flowise instance). Additional environment variables are available for customizing filtering and mode of operation.

Question 5

How do I filter chatflows in Flowise MCP?

Accepted Answer

You can filter chatflows using whitelists and blacklists based on their IDs or names (using regex) via environment variables like `FLOWISE_WHITELIST_ID` and `FLOWISE_BLACKLIST_NAME_REGEX`.

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