How do I install the mcp flowise mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `FLOWISE_API_KEY`, `FLOWISE_API_ENDPOINT`, `LOGLEVEL`, `APPDATA`, `FLOWISE_CHATFLOW_ID`, `FLOWISE_ASSISTANT_ID`, `FLOWISE_WHITELIST_ID`, `FLOWISE_BLACKLIST_ID` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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MCP Flowise MCP Server

`mcp-flowise` is a Python package implementing a Model Context Protocol (MCP) server that integrates with the Flowise API. It provides a standardized

Local serverstdioPython

What is the MCP Flowise MCP Server?

mcp-flowise is a Python package implementing a Model Context Protocol (MCP) server that integrates with the Flowise API. It provides a standardized and flexible

What you get

Dynamic Tool Exposure — LowLevel mode dynamically creates tools for each chatflow or assistant
Simpler Configuration — FastMCP mode exposes list_chatflows and create_prediction tools for minimal setup
Flexible Filtering — Both modes support filtering chatflows via whitelists and blacklists by IDs or names (regex)
MCP Integration — Integrates seamlessly into MCP workflows

Configuration and credentials

Python 3.12 or higher - uvx package manager

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Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the MCP Flowise MCP Server

{
  "mcpServers": {
    "mcp-flowise": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/andydukes/mcp-flowise",
        "mcp-flowise"
      ],
      "env": {
        "FLOWISE_API_KEY": "YOUR_FLOWISE_API_KEY",
        "FLOWISE_API_ENDPOINT": "${FLOWISE_API_ENDPOINT}"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Python 3.12 or higher - uvx package manager

Variable	Description	Required
FLOWISE_API_KEY	Declared in the maintainer’s client configuration.	Yes
FLOWISE_API_ENDPOINT	Declared in the maintainer’s client configuration.	Check documentation

Example prompts to try

“Use MCP Flowise to FLOWISE API KEY.”
“Use MCP Flowise to FLOWISE API ENDPOINT.”
“Use MCP Flowise to FLOWISE CHATFLOW DESCRIPTIONS.”

Frequently asked questions

`mcp-flowise` is a Python package implementing a Model Context Protocol (MCP) server that integrates with the Flowise API. It provides a standardized and flexible Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.