Mcp-Flowise
Integrates Flowise chatflows and assistants into the Model Context Protocol (MCP) ecosystem, enabling dynamic tool registration and simplified configurations.
About
mcp-flowise is a Python package that acts as a Model Context Protocol (MCP) server, seamlessly bridging the gap between Flowise and MCP. It provides a flexible method for exposing Flowise chatflows and assistants as tools within an MCP environment. Supporting both dynamic tool creation (LowLevel mode) and static tool configuration (FastMCP mode), it allows users to list chatflows, create predictions, and tailor the integration to their specific needs, offering whitelisting, blacklisting, and environment variable configuration for enhanced control.
Key Features
- Dynamically registers chatflows as tools.
- Allows filtering of chatflows via whitelists and blacklists.
- Integrates with MCP workflows.
- 19 GitHub stars
- Supports static tool configuration for simpler setups.
- Offers both LowLevel and FastMCP operation modes.
Use Cases
- Managing and filtering available chatflows for specific tasks.
- Integrating Flowise chatflows into AI workflows.
- Creating dynamic tools for each chatflow.
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