Complete Lyft API Integration for AI Agents with 16 Operations Using MCP

Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? [Join the community](https://www.skool.com/beyond-nodes-automation-lab-2006/about) Complete MCP server exposing 16 Lyft API operations to AI agents. ## Quick Setup 1. **Import** this workflow into your n8n instance 2. **Credentials** Add Lyft credentials 3. **Activate** the workflow to start your MCP server 4. **Copy** the webhook URL from the MCP trigger node 5. **Connect** AI agents using the MCP URL ## How it Works This workflow converts the Lyft API into an MCP-compatible interface for AI agents. - **MCP Trigger**: Serves as your server endpoint for AI agent requests - **HTTP Request Nodes**: Handle API calls to https://api.lyft.com/v1 - **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders - **Native Integration**: Returns responses directly to the AI agent ## Available Operations (16 total) ### Cost (1 endpoint) - **GET /cost**: Retrieve Cost Estimate ### Drivers (1 endpoint) - **GET /drivers**: List Nearby Drivers ### Eta (1 endpoint) - **GET /eta**: Retrieve Pickup ETA ### Profile (1 endpoint) - **GET /profile**: Retrieve User Profile ### Rides (7 endpoints) - **GET /rides**: Update Sandbox Ride Status - **POST /rides**: Request a Lyft - **GET /rides/{id}**: Get the ride detail of a given ride ID - **POST /rides/{id}/cancel**: Cancel an ongoing requested ride - **PUT /rides/{id}/destination**: Update the destination of the ride - **PUT /rides/{id}/rating**: Add the passenger's rating, feedback, and tip - **GET /rides/{id}/receipt**: Get the receipt of the rides. ### Ridetypes (1 endpoint) - **GET /ridetypes**: Update Driver Availability ### Sandbox (4 endpoints) - **PUT /sandbox/primetime**: Set Prime Time Percentage - **PUT /sandbox/rides/{id}**: Propagate ride through ride status - **PUT /sandbox/ridetypes**: Preset types of rides for sandbox - **PUT /sandbox/ridetypes/{ride_type}**: Driver availability for processing ride request ## AI Integration **Parameter Handling**: AI agents automatically provide values for: - Path parameters and identifiers - Query parameters and filters - Request body data - Headers and authentication **Response Format**: Native Lyft API responses with full data structure **Error Handling**: Built-in n8n HTTP request error management ## Usage Examples Connect this MCP server to any AI agent or workflow: - **Claude Desktop**: Add MCP server URL to configuration - **Cursor**: Add MCP server SSE URL to configuration - **Custom AI Apps**: Use MCP URL as tool endpoint - **API Integration**: Direct HTTP calls to MCP endpoints ## Benefits - **Zero Setup**: No parameter mapping or configuration needed - **AI-Ready**: Built-in `$fromAI()` expressions for all parameters - **Production Ready**: Native n8n HTTP request handling and logging - **Extensible**: Easily modify or add custom logic > **[Free for community use](https://github.com/Cfomodz/community-use)!** Ready to deploy in under 2 minutes.