flowise-mcp

flowise-mcp

Enables AI agents to interact with Flowise instances for flow management, predictions, analysis, and more.

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README

Flowise MCP Server

PyPI version License: MIT Python 3.10+ MCP Flowise

An MCP (Model Context Protocol) server that enables AI agents to interact with Flowise instances. Works with Claude Desktop, VS Code GitHub Copilot, Cursor, and other MCP-compatible clients.

Features

  • Flow Management: List, create, update, and delete chatflows and agentflows
  • Predictions: Send messages to flows and receive responses
  • Flow Analysis: Analyze configurations with improvement suggestions
  • Assistants: List and inspect Flowise assistants
  • Document Stores: Manage document stores for RAG
  • Vector Operations: Upsert vectors and query vector stores
  • Chat History: Retrieve and delete conversation history
  • Variables & Tools: Manage global variables and tools

Requirements

  • Python 3.10+ or uv package manager
  • A running Flowise instance with API access

Installation

Option A: Using pip

pip install flowise-mcp

Option B: Using uv (recommended)

# Install uv first if you don't have it
# Windows (PowerShell)
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

Then configure your AI client to use uvx flowise-mcp (see below).

Configuration

Environment Variables

Variable Description Required
FLOWISE_BASE_URL Your Flowise instance URL Yes
FLOWISE_API_KEY API key for authentication Yes
FLOWISE_TIMEOUT Request timeout in seconds (default: 60) No

Getting your Flowise API Key

  1. Open your Flowise instance
  2. Go to Settings > API Keys
  3. Create a new API key or copy an existing one

Setup by Client

VS Code (GitHub Copilot)

Requires VS Code 1.99+ with GitHub Copilot.

Add to .vscode/mcp.json in your project or to your User Settings (JSON):

{
  "servers": {
    "flowise": {
      "command": "uvx",
      "args": ["flowise-mcp"],
      "env": {
        "FLOWISE_BASE_URL": "https://your-flowise-instance.com",
        "FLOWISE_API_KEY": "your-api-key"
      }
    }
  }
}

Restart VS Code after adding the configuration.

Claude Desktop

Add to your config file:

  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "flowise": {
      "command": "uvx",
      "args": ["flowise-mcp"],
      "env": {
        "FLOWISE_BASE_URL": "https://your-flowise-instance.com",
        "FLOWISE_API_KEY": "your-api-key"
      }
    }
  }
}

Restart Claude Desktop after adding the configuration.

Available Tools

Flow Management

Tool Description
flowise_list_flows List all chatflows and agentflows
flowise_get_flow Get detailed flow configuration
flowise_create_flow Create a new flow
flowise_update_flow Update an existing flow
flowise_delete_flow Delete a flow
flowise_predict Send a message to a flow
flowise_analyze_flow Analyze flow and get improvement suggestions

Assistants

Tool Description
flowise_list_assistants List all configured assistants
flowise_get_assistant Get assistant details and configuration

Document Stores & Vectors

Tool Description
flowise_list_document_stores List all document stores
flowise_get_document_store Get document store details
flowise_upsert_vector Insert/update vectors in a flow
flowise_query_vector_store Search documents in a vector store

Chat & Configuration

Tool Description
flowise_get_chat_history Get conversation history
flowise_delete_chat_history Delete conversation history
flowise_list_variables List global variables
flowise_list_tools List available tools
flowise_ping Check server connectivity

Usage Examples

"List all my agentflows"

"Send 'Hello' to flow abc123"

"Analyze flow xyz789 and suggest improvements for better accuracy"

"Create a new chatflow named 'Customer Support Bot'"

"Show me all document stores"

"Query the vector store for 'pricing information'"

"Delete chat history for flow abc123"

"List all assistants"

Development

If you want to contribute or run locally:

git clone https://github.com/JuliDir/flowise-mcp.git
cd flowise-mcp

# Using uv
uv sync --extra dev
uv run pytest

# Or using pip
pip install -e ".[dev]"
pytest

Troubleshooting

Issue Solution
Server not appearing Restart your AI client
uvx not found Install uv (see step 1)
Connection error Check FLOWISE_BASE_URL
Authentication failed Verify FLOWISE_API_KEY

License

MIT License - see LICENSE for details.

Author

Julian Di Rocco (@JuliDir)

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