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@kenkaiiii/flowforge-mcp

v1.0.14

Published

FlowForge MCP Server - Connect LLMs to FlowForge workflow automation platform

Readme

FlowForge MCP Server

Professional MCP server that connects LLMs to FlowForge workflow automation platform.

Installation

npm install -g flowforge

Setup

  1. Set your FlowForge API key:
export FLOWFORGE_API_KEY="ff_sk_your_api_key_here"
export FLOWFORGE_API_URL="http://localhost:8080"  # Optional, defaults to localhost
  1. Run the MCP server:
flowforge-mcp

MCP Tools

Node Discovery

  • flowforge_discover_nodes - Get available node types
  • flowforge_get_node_schema - Get node configuration requirements
  • flowforge_get_node_examples - Get real-world config examples

Workflow Operations

  • flowforge_validate_workflow - Validate workflow before creation
  • flowforge_test_workflow - Dry-run workflow execution
  • flowforge_create_workflow - Create workflow from DSL
  • flowforge_list_workflows - List existing workflows
  • flowforge_manage_workflow - Update/delete/test workflows

Example Usage

Create E-commerce Workflow

LLM: Use flowforge_create_workflow with:
dsl: "webhook -> ai_agent -> slack"
configs: {
  "webhook": {"endpoint": "/orders"},
  "ai_agent": {
    "model": {"provider": "openai", "model_name": "gpt-4"},
    "prompt": {"system_prompt": "Sales analyst", "user_prompt": "Analyze: {{webhook.data}}"}
  },
  "slack": {"channel": "#sales", "message": "Order: {{ai_agent.output}}"}
}

Validate Before Creating

LLM: Use flowforge_validate_workflow to check configuration

Test Workflow

LLM: Use flowforge_test_workflow with sample data

Configuration

Required environment variables:

  • FLOWFORGE_API_KEY - Your FlowForge API key
  • FLOWFORGE_API_URL - FlowForge server URL (optional)

License

MIT