matthewhand/mcp-flowise
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`mcp-flowise` is a Python package implementing a Model Context Protocol (MCP) server that integrates with the Flowise API.
Tools
Functions exposed to the LLM to take actions
list_chatflows
List all available chatflows from the Flowise API.
This function respects optional whitelisting or blacklisting if configured via FLOWISE_CHATFLOW_WHITELIST or FLOWISE_CHATFLOW_BLACKLIST.
Returns: str: A JSON-encoded string of filtered chatflows.
create_prediction
Create a prediction by sending a question to a specific chatflow or assistant.
Args: chatflow_id (str, optional): The ID of the chatflow to use. Defaults to FLOWISE_CHATFLOW_ID. question (str): The question or prompt to send to the chatflow.
Returns: str: The raw JSON response from Flowise API or an error message if something goes wrong.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client