Uber MCP Server for Google ADK 9 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Uber as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="uber_agent",
instruction=(
"You help users interact with Uber "
"using 9 available tools."
),
tools=[mcp_tools],
)
* 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 Uber MCP Server
What you can do
Connect your AI agents to the Uber platform for seamless ride management and trip planning:
Google ADK natively supports Uber as an MCP tool provider — declare the 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 available ride products (UberX, Black, Comfort) at any location
- Estimate prices across all ride types before booking
- Compare pickup times to choose the fastest option
- View complete trip history with pricing and route data
- Save and manage favorite places (Home, Work, custom locations)
- Autocomplete place searches for accurate pickup/dropoff coordinates
The Uber 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 Uber to Google ADK via MCP
Follow these steps to integrate the Uber MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 9 tools from Uber via MCP
Why Use Google ADK with the Uber MCP Server
Google ADK provides unique advantages when paired with Uber through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Uber
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Uber tools with BigQuery, Vertex AI, and Cloud Functions
Uber + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Uber MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Uber and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Uber tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Uber regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Uber
Uber MCP Tools for Google ADK (9)
These 9 tools become available when you connect Uber to Google ADK via MCP:
add_saved_place
Requires alias name, latitude, and longitude. Optionally include a full address string. The alias can be home, work, or any custom string. Returns the saved place details. Save a new place for the authenticated Uber user
get_place_autocomplete
Requires current user location to bias results. Returns place descriptions and structured address components. Use this to help users select valid pickup/dropoff locations before requesting rides. Autocomplete place predictions for Uber locations
get_price_estimate
Prices are in local currency. Use this to compare costs across different Uber ride types before booking. Get price estimate for an Uber ride between two locations
get_products
) available at the specified latitude/longitude. Returns product IDs, display names, capacity, and descriptions. Use this to see which ride options are available before requesting a ride or price estimate. Get available Uber products at a location
get_ride_estimate
More specific than price estimates as it targets one product. Use this to get exact pricing before requesting a ride. Get detailed ride estimate for a specific Uber product
get_saved_places
Returns place aliases, addresses, and coordinates. Use this to quickly reference saved locations for ride requests or price estimates without typing addresses. List saved places for the authenticated Uber user
get_time_estimate
Use this to compare how quickly different Uber services can pick you up. Lower times mean faster pickups. Get estimated pickup time for Uber at a location
get_trip_history
Returns trip date, start/end locations, product used, distance, and price. Use this to review past rides, calculate expenses, or find a previous trip details. Get trip history for the authenticated Uber user
get_user_profile
Use this to verify authentication and confirm which Uber account is connected. Get the authenticated Uber user profile
Example Prompts for Uber in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Uber immediately.
"Estimate the price for an UberX from my home to the airport at 3pm tomorrow"
"Show me my last 10 Uber trips with total spending"
"What Uber products are available at my current location and how fast can they pick me up?"
Troubleshooting Uber MCP Server with Google ADK
Common issues when connecting Uber to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkUber + Google ADK FAQ
Common questions about integrating Uber MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect Uber to Google ADK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.