Cabify MCP Server for Pydantic AI 9 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Cabify through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Cabify "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in Cabify?"
)
print(result.data)
asyncio.run(main())
* 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:
Pydantic AI validates every Cabify tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- 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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Cabify MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 9 tools from Cabify with type-safe schemas
Why Use Pydantic AI with the Cabify MCP Server
Pydantic AI provides unique advantages when paired with Cabify through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Cabify integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Cabify connection logic from agent behavior for testable, maintainable code
Cabify + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Cabify MCP Server delivers measurable value.
Type-safe data pipelines: query Cabify with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Cabify tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Cabify and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Cabify responses and write comprehensive agent tests
Cabify MCP Tools for Pydantic AI (9)
These 9 tools become available when you connect Cabify to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Cabify to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCabify + Pydantic AI FAQ
Common questions about integrating Cabify MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Cabify with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Pydantic AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.