# MCP server for Lyft: ride estimates, trip management, and sandbox testing
This automation template provides an API-like interface via MCP (Model Context Protocol) to interact with the Lyft platform. It enables AI agents to request ride estimates, book trips, update destinations, or cancel rides without direct integration with Lyft´s native API. Designed for developers and companies integrating ride-hailing functionality into their apps or AI systems.
## Who it´s for
- Developers building AI assistants for taxi booking
- Companies integrating transport services into corporate or customer-facing applications
- QA engineers needing sandbox tools for simulating ride scenarios
- Platforms aggregating multiple ride-hailing services through a unified API
## What the automation does
- Receives requests from AI agents via HTTP API
- Routes queries to appropriate Lyft API endpoints (estimates, driver availability, booking)
- Handles ride actions: booking, destination update, cancellation
- Returns structured responses back to the AI agent
- Supports sandbox operations for safe testing without real rides
## What´s included
- Ready-to-use n8n workflow
- Logic for handling MCP requests and routing
- Integrations with Lyft API and HTTP Web Service
- Basic text instructions for setup and adaptation
## Requirements for setup
- n8n account (cloud or self-hosted)
- Access to a LangChain-powered MCP server
- Valid Lyft API key with sandbox access
- Basic understanding of HTTP requests and environment variables
## Benefits and outcomes
- Accelerates AI agent integration with Lyft
- Simplifies testing of ride management logic
- Lowers entry barrier for developers unfamiliar with Lyft API
- Provides a consistent interface across multiple transportation workflows
## 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 chat
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