Stadia Maps MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Stadia Maps 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="stadia_maps_agent",
instruction=(
"You help users interact with Stadia Maps "
"using 10 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 Stadia Maps MCP Server
Imbue your artificial intelligence environment with the geospatial and routing capabilities of Stadia Maps. Seamlessly audit logistical questions and compute optimal transit routes across numerous delivery points without leaving your conversational interface. Empower your assistant to translate standard addresses into precise geographic coordinates, calculate time-and-distance matrices objectively, or parse topographical elevation data efficiently, connecting global mapping infrastructure directly to your local workflows.
Google ADK natively supports Stadia Maps as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Geospatial Coordination — Convert physical addresses into exact coordinates using
forward_geocode, or deduce properties from latitude and longitude viareverse_geocode. - Route Computation — Instruct your AI to generate accurate driving vectors between locations via
calculate_route, and establish extensive routing cost-matrices utilizingcalculate_distance_matrix. - Logistical Optimization — Resolve complex routing problems automatically with
optimized_trip_route, and map exact reachable perimeters utilizingcalculate_isochrone. - Topography & Precision — Align raw GPS tracks to official street networks accurately with
execute_map_matching, and retrieve detailed elevation metrics applyingget_path_elevation.
The Stadia Maps MCP Server exposes 10 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 Stadia Maps to Google ADK via MCP
Follow these steps to integrate the Stadia Maps 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 10 tools from Stadia Maps via MCP
Why Use Google ADK with the Stadia Maps MCP Server
Google ADK provides unique advantages when paired with Stadia Maps 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 Stadia Maps
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 Stadia Maps tools with BigQuery, Vertex AI, and Cloud Functions
Stadia Maps + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Stadia Maps MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Stadia Maps and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Stadia Maps tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Stadia Maps regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Stadia Maps
Stadia Maps MCP Tools for Google ADK (10)
These 10 tools become available when you connect Stadia Maps to Google ADK via MCP:
autocomplete_location
Provides predictive address suggestions based on partial input
calculate_distance_matrix
Calculates distances and travel times between multiple points
calculate_isochrone
Calculates an area reachable within a specific time or distance
calculate_route
Locations should be a JSON array of {lat, lon}. Costing can be "auto", "bicycle", or "pedestrian". Calculates a route between multiple geographic points
execute_map_matching
Snaps raw GPS points to the road network
forward_geocode
Converts a physical address string into geographic coordinates
get_path_elevation
Retrieves elevation/height data for a specific geographic path
get_timezone
Retrieves the local timezone for specific geographic coordinates
optimized_trip_route
Returns the optimized path. Calculates the most efficient route between multiple stops
reverse_geocode
Converts geographic coordinates into a physical address
Example Prompts for Stadia Maps in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Stadia Maps immediately.
"Locate and securely return the comprehensive latitude and longitude values associated with this address: '1600 Amphitheatre Parkway, Mountain View, CA'."
"Analyze these targeted locations formatting parameters into a complete trip route simulation enforcing an algorithmic analysis assuming optimal routing for automobiles."
Troubleshooting Stadia Maps MCP Server with Google ADK
Common issues when connecting Stadia Maps to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkStadia Maps + Google ADK FAQ
Common questions about integrating Stadia Maps 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?
Connect Stadia Maps 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.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Stadia Maps to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
