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How to Use the ArcGIS MCP in Google ADK

Connect your Google ADK pipelines to ArcGIS for real-world spatial intelligence and route solving.

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Google ADK

Connect ArcGIS MCP to Google ADK

Create your Vinkius account to connect ArcGIS 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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Geospatial lookups in Google ADK

Use `find_address_country` to restrict location searches to specific regions during your agent's reasoning process. It narrows down the search space, reducing noise in your spatial queries. Autocomplete your user's input with `suggest_geocoding` or `suggest_location_bias`. This provides a better experience for agents interacting with end-user location data.

Vehicle routing for Google ADK

Solve complex logistics problems by passing your orders to `solve_vehicle_routing`. The tool processes your JSON-formatted fleet requirements and returns the optimized stops. Your agent manages the entire flow within the Google ADK environment. It retrieves the calculated routes and updates your backend records accordingly.

Distance calculations for your agent

Map out service coverage using `calculate_service_area` based on your specific travel constraints. Your agent defines the facilities and time thresholds, getting back precise spatial data. Pair this with `reverse_geocode` to translate coordinate output back into human-readable addresses. It bridges the gap between raw GPS data and your business logic.

Setup guide

Set up ArcGIS 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 ArcGIS 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="ArcGIS_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ArcGIS 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 ArcGIS. 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 ArcGIS MCP in Google ADK

You configure a McpToolset using the server's HTTP endpoint. Once passed to your LlmAgent, the toolset makes all ArcGIS functions available for your agent to call.
You can use the tool_names argument in your McpToolset configuration to restrict access. This limits the agent to only the specific spatial operations you want to permit.
The server supports both transport methods. You choose the one that matches your Google Cloud infrastructure requirements during the toolset setup.
The output is standard JSON, so your agent can easily format the results for insertion into your BigQuery tables. It makes updating your spatial datasets straightforward.
All spatial requests are handled through a zero-trust, ephemeral sandbox environment. The system processes your address and coordinate inputs in memory, and data is wiped immediately upon completion.

Start using the ArcGIS MCP today

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