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Showing content from https://github.com/hiveflowai/hiveflow-mcp-server below:

GitHub - hiveflowai/hiveflow-mcp-server

Official Model Context Protocol (MCP) server for HiveFlow. Connect your AI assistants (Claude, Cursor, etc.) directly to your HiveFlow automation platform.

npm install -g @hiveflow/mcp-server

Add to your MCP client configuration (e.g., .cursor/mcp.json):

{
  "mcpServers": {
    "hiveflow": {
      "command": "npx",
      "args": ["-y", "@hiveflow/mcp-server"],
      "env": {
        "HIVEFLOW_API_KEY": "your-api-key-here",
        "HIVEFLOW_API_URL": "https://api.hiveflow.ai"
      }
    }
  }
}

{
  "mcpServers": {
    "hiveflow": {
      "command": "npx",
      "args": ["-y", "@hiveflow/mcp-server"],
      "env": {
        "HIVEFLOW_API_KEY": "your-api-key-here",
        "HIVEFLOW_API_URL": "http://localhost:5000"
      }
    }
  }
}

1. Log in to your HiveFlow dashboard
2. Go to Settings > API Keys
3. Generate a new API key

cd your-hiveflow-backend
node get-api-key.js your-email@example.com

Once configured, you'll have access to these tools in your AI assistant:

• create_flow - Create new automation flows
• list_flows - List all your flows
• get_flow - Get details of a specific flow
• execute_flow - Execute a flow with optional inputs
• pause_flow - Pause an active flow
• resume_flow - Resume a paused flow
• get_flow_executions - Get execution history

• list_mcp_servers - List configured MCP servers
• create_mcp_server - Register new MCP servers

• hiveflow://flows - Access to all your flows data
• hiveflow://mcp-servers - MCP servers configuration
• hiveflow://executions - Flow execution history

AI: "Create a flow called 'Email Processor' that analyzes incoming emails"

AI: "Show me all my active flows"

AI: "Execute the flow with ID 'abc123' with input data {email: 'test@example.com'}"

AI: "What's the status of my Email Processor flow?"

• HIVEFLOW_API_KEY - Your HiveFlow API key (required)
• HIVEFLOW_API_URL - Your HiveFlow instance URL (default: https://api.hiveflow.ai)
• HIVEFLOW_INSTANCE_ID - Instance ID for multi-tenant setups (optional)

hiveflow-mcp --api-key YOUR_KEY --api-url https://your-instance.com

This MCP server acts as a bridge between your AI assistant and HiveFlow:

AI Assistant (Claude/Cursor) ↔ MCP Server ↔ HiveFlow API

• API keys are transmitted securely over HTTPS
• All requests are authenticated and authorized
• No data is stored locally by the MCP server

"HIVEFLOW_API_KEY is required"

• Make sure you've set the API key in your MCP configuration
• Verify the API key is valid and not expired

"Cannot connect to HiveFlow API"

• Check that your HiveFlow instance is running
• Verify the API URL is correct
• Ensure there are no firewall restrictions

"MCP server not found"

• Restart your AI assistant completely
• Verify the MCP configuration file is in the correct location
• Check that the package is installed: npm list -g @hiveflow/mcp-server

For detailed logging, set the environment variable:

export DEBUG=hiveflow-mcp:*

• HiveFlow Documentation
• MCP Protocol Specification
• API Reference

We welcome contributions! Please see our Contributing Guide for details.

MIT License - see LICENSE file for details.

• GitHub Issues
• Discord Community
• Email Support

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