3,400+ servers built on vurb.ts
Vinkius

Bring Ride Sharing
to Cursor

Learn how to connect Lyft to Cursor and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Cancel RideGet Cost EstimateGet Eta EstimateGet LocationsGet Ride DetailsGet Ride HistoryGet Ride TypesRequest RideSet Location
Lyft

What is the Lyft MCP Server?

What you can do

Connect AI agents to the Lyft platform for complete ride automation:

  • 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)

How it works

1. Connect your Lyft account via Client ID and Secret from Lyft Developer Portal
2. Ask your AI agent to estimate rides, book trips, or check history
3. No app navigation needed — natural language commands execute all operations
4. Automatic OAuth — the MCP handles token generation using client credentials flow

Who is this for?

Perfect for frequent travelers, urban commuters, executive assistants, travel coordinators, and corporate teams managing business transportation. Let AI agents handle ride booking, expense tracking via ride history, and location management. Ideal for professionals taking 10+ Lyft rides monthly who want streamlined booking workflows, instant price comparisons, and automated ride tracking.

Built-in capabilities (9)

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

Why Cursor?

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.

  • 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

See it in action

Lyft in Cursor

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Lyft and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Lyft to Cursor through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Lyft in Cursor

The Lyft 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. All 9 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Cursor only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Lyft
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Lyft for Cursor

Every tool call from Cursor to the Lyft MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I actually book rides through this MCP server?

Yes! Unlike some ride-sharing MCPs that only provide estimates, this server can create actual ride requests via the Lyft API. You can book rides, check status, track driver details, and even cancel — all through AI agent commands. A valid Lyft account with payment method on file is required.

02

What Lyft API permissions do I need?

You need Client ID and Client Secret from the Lyft Developer Portal with 'Public' or 'Full' access scopes. The client credentials flow (2-legged OAuth) provides access to ride types, cost estimates, ETA estimates, ride requests, and history. For user-specific data, additional scope approval may be needed.

03

Does this work in all cities where Lyft operates?

Yes, this MCP server works in all cities served by Lyft, primarily across the United States and select Canadian cities. Ride availability depends on your local Lyft service area. The API will return accurate ride types, pricing, and ETAs for any location where Lyft operates.

04

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

05

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a 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.

06

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

07

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

08

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

09

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.