How to Use the MapQuest MCP in Google ADK
Feed MapQuest spatial coordinates directly into Google ADK to power deep-reasoning logistics pipelines inside BigQuery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect MapQuest MCP to Google ADK
Create your Vinkius account to connect MapQuest to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Enterprise-scale geocoding inside Google ADK
Gemini models process massive coordinate datasets from Google ADK using MapQuest spatial endpoints. By exposing `geocode_address` to Google ADK, your model parses raw address strings from BigQuery. The Google ADK manages the tool execution state, allowing Gemini to recursively call MapQuest `reverse_geocode`. This setup eliminates manual batch processing scripts when translating MapQuest coordinates inside Google Cloud.
Context-aware routing using MapQuest MCP Server
Enterprise logistics require matching BigQuery inventory with MapQuest `get_directions` transit times. Your Google ADK agent uses MapQuest routing to choose the best fulfillment center based on driving distances. Connecting this MapQuest MCP Server to Google ADK lets you trigger Vertex AI workflows when routes are too long. It links real-time MapQuest calculations directly to your Google Cloud data warehouse.
Automated spatial intelligence and POI mapping
Identifying competitor locations is simple when your Google ADK agent scans regions using MapQuest. The MapQuest `search_points_of_interest` tool gives your Gemini agent the ability to locate amenities around Google Cloud assets. You can display these points to operators by generating visual assets with MapQuest `get_static_map_url` inside Google ADK. The Google ADK agent stitches these MapQuest image links directly into its final Vertex reports.
Set up MapQuest MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with MapQuest tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="MapQuest_agent",
model="gemini-2.0-flash",
instruction="You have access to MapQuest tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MapQuest. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about MapQuest MCP in Google ADK
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