Lyft MCP Server for Cursor 9 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"lyft": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Lyft MCP Server
What you can do
Connect AI agents to the Lyft platform for complete ride automation:
Cursor's Agent mode turns Lyft into an in-editor superpower. Ask Cursor to generate code using live data from Lyft and it fetches, processes, and writes. all in a single agentic loop. 9 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
- Get available ride types (Lyft, XL, Lux) at any location
- Estimate ride costs across all products before booking
- Compare pickup ETAs to choose the fastest option
- Request rides directly with origin and destination coordinates
- Track active rides with driver info, vehicle details, and real-time status
- Cancel rides when plans change
- View complete ride history with pricing and route data
- Save favorite locations (Home, Work, custom places)
The Lyft MCP Server exposes 9 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Lyft to Cursor via MCP
Follow these steps to integrate the Lyft MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Lyft
Open Agent mode in chat and ask: "Using Lyft, help me...". 9 tools available
Why Use Cursor with the Lyft MCP Server
Cursor AI Code Editor provides unique advantages when paired with Lyft through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Lyft + Cursor Use Cases
Practical scenarios where Cursor combined with the Lyft MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Lyft MCP Tools for Cursor (9)
These 9 tools become available when you connect Lyft to Cursor via MCP:
cancel_ride
Cancellation policies vary based on ride status - cancellations after driver assignment may incur fees. Use this to cancel rides that were booked by mistake or are no longer needed. Cancel an existing Lyft ride request
get_cost_estimate
Prices are in local currency (USD). Use this to compare costs across different Lyft products before booking. Get cost estimate for a Lyft ride between two locations
get_eta_estimate
Use this to compare how quickly different Lyft services can reach you. Lower minutes mean faster pickups. Get estimated arrival times for Lyft at a location
get_locations
Returns location IDs, names, addresses, and coordinates. Use this to quickly reference saved locations for ride requests without typing full addresses. Get saved locations for the Lyft account
get_ride_details
Use this to track your active ride or review past ride details. Get details of a specific Lyft ride
get_ride_history
Returns ride date, status, origin/destination, ride type, driver, and cost. Use this to review past rides, calculate expenses, or find previous trip details. Get ride history for the authenticated Lyft account
get_ride_types
) available at the specified latitude/longitude. Returns ride type IDs, display names, capacity, and descriptions. Use this to see which ride options are available before requesting price or time estimates. Get available Lyft ride types at a location
request_ride
Requires ride type ID (from get_ride_types), origin coordinates, and destination coordinates. Optionally include pickup/dropoff addresses for clarity. Returns the ride ID and status. Use this to book a ride after confirming price and availability. Request a new Lyft ride
set_location
Requires location ID, latitude, and longitude. Optionally include a display name. The location ID can be home, work, or any custom string. Returns the saved location details. Use this to manage your favorite pickup/dropoff spots. Save or update a location for the Lyft account
Example Prompts for Lyft in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Lyft immediately.
"Get me a price estimate from JFK Airport to Times Square for a Lyft XL"
"Book me a Lyft from my home to San Francisco International Airport"
"Show me my last 20 Lyft rides and total spending"
Troubleshooting Lyft MCP Server with Cursor
Common issues when connecting Lyft to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Lyft + Cursor FAQ
Common questions about integrating Lyft MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Lyft with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lyft to Cursor
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.