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Cabify MCP Server for Google ADK 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Cabify as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="cabify_agent",
    instruction=(
        "You help users interact with Cabify "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)
Cabify
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

About Cabify MCP Server

What you can do

Connect AI agents to the Cabify Business platform for enterprise mobility management:

Google ADK natively supports Cabify as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

  • 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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Cabify MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 9 tools from Cabify via MCP

Why Use Google ADK with the Cabify MCP Server

Google ADK provides unique advantages when paired with Cabify through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Cabify

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Cabify tools with BigQuery, Vertex AI, and Cloud Functions

Cabify + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Cabify MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Cabify and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Cabify tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Cabify regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Cabify

Cabify MCP Tools for Google ADK (9)

These 9 tools become available when you connect Cabify to Google ADK via MCP:

01

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

02

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

03

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

04

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

05

get_ride_details

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

06

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

07

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

08

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

09

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 Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Cabify immediately.

01

"Get me a price estimate from Madrid Airport to our office in Gran Vía for a Cabify Executive"

02

"Book a Cabify from the hotel to the conference center for 9am tomorrow"

03

"Show me all Cabify rides from last month with total business expenses"

Troubleshooting Cabify MCP Server with Google ADK

Common issues when connecting Cabify to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Cabify + Google ADK FAQ

Common questions about integrating Cabify MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Cabify to Google ADK

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