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Flowise

mcp-flowise is a Python package that implements a Model Context Protocol (MCP) server integrated with the Flowise API. It supports both dynamic tool registration and static configuration modes and is suitable for the integration of Flowise chat flows or assistants.
Artificial intelligence chatbotsDeveloper tools#Flowise integration#Dynamic tools#MCP protocol#Chat flows.Python
2.5 points
9.7K
Open Site

Overview

Installation

Content Details

Alternatives

What is mcp-flowise?

mcp-flowise is a Python tool that connects to the Flowise API. It allows you to manage and use Flowise's chat processes through the standardized Model Context Protocol (MCP). It simplifies the interaction with Flowise and provides dynamic tool registration and prediction creation functions.

How to use mcp-flowise?

You can install it automatically via Smithery or manually using the uvx package manager. After installation, configure the necessary environment variables to start using it.

Applicable scenarios

Suitable for scenarios where you need to integrate Flowise chat processes into existing MCP workflows, especially applications that require dynamic management of multiple chat processes or assistants.

Main features

Dynamic tool registration
Automatically create dedicated tools for each Flowise chat process to simplify the integration process
Dual-mode operation
Supports both LowLevel (dynamic) and FastMCP (static) modes to meet different complexity requirements
Flexible filtering mechanism
Supports filtering chat processes through ID or name (regular expression) whitelist/blacklist
Advantages
Seamless integration into the MCP ecosystem
Dynamic tool registration reduces manual configuration
Flexible filtering mechanism facilitates the management of a large number of chat processes
Supports Windows and Unix-like systems
Limitations
Requires Python 3.12 or higher
uvx installation on Windows may require additional configuration
Assistant functions are not fully implemented (on the TODO list)

How to use

Installation
Install automatically via Smithery or manually using uvx
Configuration
Set the necessary environment variables, especially FLOWISE_API_KEY and FLOWISE_API_ENDPOINT
Running
Start the server and integrate it into the MCP ecosystem

Usage examples

Usage in dynamic mode
In LowLevel mode, each chat process automatically becomes an available tool
Usage in static mode
In FastMCP mode, use standard tools to interact with the specified chat process

Frequently Asked Questions

How to choose the operation mode?
What should I do if I encounter problems during Windows installation?
How to filter the displayed chat processes?

Related resources

GitHub repository
Project source code and latest updates
Smithery installation page
Install automatically via Smithery
Flowise official website
Flowise official documentation

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
        "mcp-flowise": {
            "command": "uvx",
            "args": [
                "--from",
                "git+https://github.com/matthewhand/mcp-flowise",
                "mcp-flowise"
            ],
            "env": {
                "FLOWISE_API_KEY": "${FLOWISE_API_KEY}",
                "FLOWISE_API_ENDPOINT": "${FLOWISE_API_ENDPOINT}"
            }
        }
    }
}

{
  "mcpServers": {
    "flowise": {
      "command": "C:\\Users\\matth\\.local\\bin\\uvx.exe",
      "args": [
        "--from",
        "C:\\Users\\matth\\downloads\\mcp-flowise",
        "mcp-flowise"
      ],
      "env": {
        "LOGLEVEL": "ERROR",
        "APPDATA": "C:\\Users\\matth\\AppData\\Roaming",
        "FLOWISE_API_KEY": "your-api-key-goes-here",
        "FLOWISE_API_ENDPOINT": "http://localhost:3000/"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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