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Lyft MCP Server for Windsurf 9 tools — connect in under 2 minutes

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Windsurf brings agentic AI coding to a purpose-built IDE. Connect Lyft through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Vinkius supports streamable HTTP and SSE.

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Classic Setup·json
{
  "mcpServers": {
    "lyft": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Lyft
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About Lyft MCP Server

What you can do

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

Windsurf's Cascade agent chains multiple Lyft tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 9 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

  • 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 Windsurf 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 Windsurf via MCP

Follow these steps to integrate the Lyft MCP Server with Windsurf.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

02

Add the server

Paste the JSON configuration above into mcp_config.json

03

Save and reload

Windsurf will detect the new server automatically

04

Start using Lyft

Open Cascade and ask: "Using Lyft, help me...". 9 tools available

Why Use Windsurf with the Lyft MCP Server

Windsurf provides unique advantages when paired with Lyft through the Model Context Protocol.

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 9 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Lyft + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Lyft MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from Lyft and generate models, types, or handlers based on real API responses

02

Live debugging: query Lyft tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from Lyft and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine Lyft data with Cascade's code generation to scaffold entire features in minutes

Lyft MCP Tools for Windsurf (9)

These 9 tools become available when you connect Lyft to Windsurf via MCP:

01

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

02

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

03

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

04

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

05

get_ride_details

Use this to track your active ride or review past ride details. Get details of a specific Lyft ride

06

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

07

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

08

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

09

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 Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Lyft immediately.

01

"Get me a price estimate from JFK Airport to Times Square for a Lyft XL"

02

"Book me a Lyft from my home to San Francisco International Airport"

03

"Show me my last 20 Lyft rides and total spending"

Troubleshooting Lyft MCP Server with Windsurf

Common issues when connecting Lyft to Windsurf through the Vinkius, and how to resolve them.

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Lyft + Windsurf FAQ

Common questions about integrating Lyft MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.

Connect Lyft to Windsurf

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.