Mcp-Flowise FAQs

Question 1

What is Mcp-Flowise?

Accepted Answer

Mcp-Flowise is a Python package that integrates Flowise chatflows and assistants into the Model Context Protocol (MCP) ecosystem, allowing dynamic tool registration and simplified configurations.

Question 2

How do I install and run Mcp-Flowise?

Accepted Answer

You can install Mcp-Flowise via Smithery or using `uvx` package manager with a direct link to the GitHub repository. Ensure you have Python 3.12 or higher installed.

Question 3

What is the difference between LowLevel and FastMCP modes?

Accepted Answer

LowLevel mode dynamically registers tools for all chatflows. FastMCP mode provides static tools for listing chatflows and creating predictions, offering a simpler setup.

Question 4

What are the main features of Mcp-Flowise?

Accepted Answer

Key features include dynamically registering chatflows as tools, supporting static configuration (FastMCP mode), filtering chatflows via whitelists/blacklists, and seamless integration with MCP workflows.

Question 5

How can I filter chatflows in Mcp-Flowise?

Accepted Answer

You can filter chatflows using whitelists and blacklists by ID or name (using regex) through environment variables like `FLOWISE_WHITELIST_ID`, `FLOWISE_BLACKLIST_ID`, etc.

Mcp-Flowise

Mcp-Flowise

主要功能

使用案例

主要功能

使用案例