Lyft ride management via API: estimation, booking, and…

This template automates interaction with the Lyft platform via an MCP server in n8n, enabling trip cost estimation, ride booking, trip updates, and sandbox testing. Designed for developers and companies needing to embed transportation functions into their systems.

## Who it´s for
- Developers integrating ride-hailing services into applications
- Logistics companies requiring automated taxi dispatch
- Delivery platforms using external transport APIs
- Teams testing Lyft integrations in a sandbox environment
- Platforms using AI agents for ride management

## What the automation does
- Accepts HTTP requests for ride estimates, pickup times, and available drivers
- Handles user actions: booking, cancellation, destination update, and rating
- Manages user profiles and settings in the test (sandbox) environment
- Integrates with AI agents via LangChain and ai_tool_call triggers
- Works with both real and simulated ride data

## What´s included
- Ready-to-use n8n workflow with MCP server integration
- Logic for handling HTTP requests and triggers (webhook, ai_tool_call)
- Integration with Lyft API and Sandbox Environment
- Basic documentation for setup and adaptation

## Requirements for setup
- n8n account with HTTP API access
- Access to an MCP server configured with Lyft integration
- Lyft API keys (production and sandbox)
- Basic understanding of REST interfaces and JSON handling

## Benefits and outcomes
- Reduced time spent on manual taxi dispatch
- Scalable transport operations via API
- Automated ride handling within logistics workflows
- Safe integration testing without real rides
- Support for AI agents managing mobility
- Centralized ride control from a single platform

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.