Cabify MCP Server for VS Code Copilot 9 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"mcpServers": {
"cabify": {
"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 Cabify MCP Server
What you can do
Connect AI agents to the Cabify Business platform for enterprise mobility management:
GitHub Copilot Agent mode brings Cabify data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 9 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
- Get price estimates across all Cabify tiers (Lite, Executive, Taxi)
- Compare trip durations with real-time traffic data
- Request rides directly with pickup and dropoff coordinates
- Track active rides with driver info, vehicle details, and live ETA
- Cancel rides when plans change
- View complete ride history with business expense tracking
- Manage saved locations for frequent business destinations
- Check available service tiers at any location in Spain and LATAM
The Cabify MCP Server exposes 9 tools through the Vinkius. Connect it to VS Code Copilot 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 Cabify to VS Code Copilot via MCP
Follow these steps to integrate the Cabify MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using Cabify
Ask Copilot: "Using Cabify, help me...". 9 tools available
Why Use VS Code Copilot with the Cabify MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Cabify through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Cabify + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Cabify MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Cabify MCP Tools for VS Code Copilot (9)
These 9 tools become available when you connect Cabify to VS Code Copilot via MCP:
add_saved_location
Common use cases: save office addresses, frequent client locations, hotels, airports. Returns the saved location details including the new location ID. Use this to build a library of frequently used destinations for faster ride booking. Save a new location for the Cabify account
cancel_ride
Cancellation policies vary based on ride status - cancellations after driver assignment may incur fees depending on Cabify Empresas policy. Use this to cancel rides that were booked by mistake or are no longer needed. Cancel an existing Cabify ride request
get_available_products
Returns product IDs, names, descriptions, capacity, and features. Use this to see which service options are available before requesting estimates or booking rides. Get available Cabify service tiers at a location
get_price_estimate
Prices are in local currency (EUR for Spain, local currency for LATAM). Use this to compare costs across different Cabify service tiers before booking. Get price estimate for a Cabify ride between two locations
get_ride_details
Use this to track your active ride or review past trip details. Get details of a specific Cabify ride
get_ride_history
Returns ride date, status, origin/destination, product type, driver, cost, and business expense category. Use this to review past rides, calculate business expenses, or find previous trip details. Get ride history for the Cabify Business account
get_saved_locations
Returns location IDs, names, addresses, and coordinates. Use this to quickly reference saved locations for ride requests without typing full addresses. Common for frequent business destinations. Get saved locations for the Cabify account
get_time_estimate
Accounts for current traffic conditions and typical route times. Use this to plan schedules and compare route efficiency across different pickup/dropoff points. Get estimated trip duration for a Cabify ride
request_ride
Requires origin and destination coordinates. Optionally specify product ID (from get_available_products), pickup address, and dropoff address for clarity. Returns the ride ID, driver assignment status, and estimated pickup time. Use this to book a ride after confirming price and availability. Request a new Cabify ride
Example Prompts for Cabify in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Cabify immediately.
"Get me a price estimate from Madrid Airport to our office in Gran Vía for a Cabify Executive"
"Book a Cabify from the hotel to the conference center for 9am tomorrow"
"Show me all Cabify rides from last month with total business expenses"
Troubleshooting Cabify MCP Server with VS Code Copilot
Common issues when connecting Cabify to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Cabify + VS Code Copilot FAQ
Common questions about integrating Cabify MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.Connect Cabify with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Cabify to VS Code Copilot
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.