Skip to main content

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)

Metadata

Release files for flowise-mcp 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for flowise-mcp 0.1.0
File Size Uploaded Provenance
flowise_mcp-0.1.0.tar.gz 140.0 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for flowise-mcp 0.1.0
File Interpreter ABI Platform
flowise_mcp-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 158.9 kB

Release files / flowise_mcp-0.1.0.tar.gz

Download URL flowise_mcp-0.1.0.tar.gz
Size 140.0 kB
Tags Source
SHA-256 checksum
How to use checksums
04c487aa1d3d4da64482f9408af1bb004bca27d751df9a1625e58f8eed73d18a
BLAKE2b-256 checksum
How to use checksums
8222083b9fff48987a607d4d41c852787ae43c3ab3046cbea2b62ed11f0eaa36
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.3

Release files / flowise_mcp-0.1.0-py3-none-any.whl

Download URL flowise_mcp-0.1.0-py3-none-any.whl
Size 19.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7ea2faf651121af055e1004b77ad592b919008608b13d0b3268c8fc2cf45fac7
BLAKE2b-256 checksum
How to use checksums
66b3947a80a8a37bc6ba3cae64c69b3afc79010fd660e500111caf619ebafbcb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.3

Security for flowise-mcp 0.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page