Ride-sharing platform
## Lyft MCP Server: Ride-Sharing Integration The **Lyft MCP Server** integrates the ride-sharing platform directly into Google Antigravity, enabling AI assistants to request rides, estimate costs, and manage transportation programmatically. This integration brings on-demand transportation capabilities to your development workflow. ### Why Lyft MCP? - **Ride Requests**: Request rides programmatically for users or automated workflows - **Price Estimates**: Get accurate ride cost estimates before booking - **Ride Types**: Access various ride options from shared to luxury vehicles - **Real-Time Tracking**: Track ride status and driver location in real-time - **Receipt Access**: Retrieve ride history and receipts for expense management ### Key Features #### 1. Ride Estimation ```python from anthropic import Anthropic client = Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Get Lyft price estimates from downtown SF to SFO airport" }], tools=[{ "name": "lyft_estimate", "description": "Get ride estimates" }] ) ``` #### 2. Ride Request ```python # Request a ride response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Request a Lyft XL for 4 passengers from the office to the airport" }], tools=[{"name": "lyft_request", "description": "Request rides"}] ) ``` #### 3. Ride Status ```python # Track ride status response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Check the status of my current Lyft ride and driver ETA" }], tools=[{"name": "lyft_status", "description": "Track ride status"}] ) ``` #### 4. Ride History ```python # Get ride history response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Get my Lyft rides from this month for expense reporting" }], tools=[{"name": "lyft_history", "description": "Access ride history"}] ) ``` ### Configuration ```json { "mcpServers": { "lyft": { "command": "npx", "args": ["-y", "@anthropic/mcp-lyft"], "env": { "LYFT_CLIENT_ID": "your-client-id", "LYFT_CLIENT_SECRET": "your-client-secret" } } } } ``` ### Use Cases **Travel Applications**: Integrate ride booking into travel planning and itinerary apps. **Expense Automation**: Automate ride expense tracking and reporting. **Event Logistics**: Coordinate transportation for events and group activities. **Concierge Services**: Build concierge tools that arrange transportation on behalf of users. The Lyft MCP Server brings ride-sharing integration directly into your development workflow, enabling seamless transportation automation.
{
"mcpServers": {
"lyft": {
"mcpServers": {
"lyft": {
"env": {
"LYFT_CLIENT_ID": "your-client-id",
"LYFT_CLIENT_SECRET": "your-secret"
},
"args": [
"-y",
"lyft-mcp-server"
],
"command": "npx"
}
}
}
}
}