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How to Use the Mapbox (Maps & Geospatial) MCP in Google ADK

Connect Mapbox (Maps & Geospatial) to your Google ADK enterprise infrastructure.

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Connect Mapbox (Maps & Geospatial) MCP to Google ADK

Create your Vinkius account to connect Mapbox (Maps & Geospatial) 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.

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High-volume distance matrix processing

Run `get_distance_matrix` to feed travel time data into BigQuery. Your agents can now aggregate location metrics alongside your existing enterprise datasets. Scale your operations by using `get_isochrones` to map reachable service areas. This gives your Gemini-powered agents a visual way to define delivery zones.

Mapbox (Maps & Geospatial) integration logic

Connect your MCP server using McpToolset. Your LlmAgent gains direct access to geospatial functions, allowing it to act on your cloud infrastructure data. Restrict tool access by passing a filter to the toolset. This ensures your agent only uses the specific location functions your workflow requires.

Reverse geocoding for asset management

Convert coordinates back into addresses using `reverse_geocode`. Your agents can track assets across your cloud-managed fleet in real time. Generate map visuals with `generate_static_map`. Your agents can attach these links to reports, providing immediate visual context for your logistics team.

Setup guide

Set up Mapbox (Maps & Geospatial) MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 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 Mapbox (Maps & Geospatial) tools in your ADK agent.

agent.py
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="Mapbox (Maps & Geospatial)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Mapbox (Maps & Geospatial) 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 Mapbox. 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 Mapbox (Maps & Geospatial) MCP in Google ADK

Install the framework and initialize a McpToolset with your server URL. Pass this object to your LlmAgent to start executing location queries.
Absolutely, query coordinates from your database and pass them to your tools. Your agent handles the transformation between SQL and geospatial logic.
Yes, the framework supports both Stdio and HTTP transports. Choose the one that fits your Google Cloud deployment strategy.
Use the tool_names argument in your toolset configuration. This creates a specific subset of functions for your agent to use.
Traffic is encrypted via HTTPS. Your credentials stay local to your infrastructure, preventing unauthorized access to your location data.

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