How to Use the ArcGIS Alternative MCP in Google ADK

Q: How do I configure the ArcGIS Alternative MCP server with Google ADK?

Initialize a McpToolset using StreamableHttpServerParameters pointing to your Vinkius URL. Then pass that toolset directly into your LlmAgent configuration.

Q: How do I restrict ArcGIS Alternative tools in Google ADK?

Pass a specific list to the toolnames filter when setting up the MCP toolset. This prevents a routing agent from accidentally wasting tokens on basemap queries.

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Connect ArcGIS Alternative MCP to Google ADK

Create your Vinkius account to connect ArcGIS Alternative 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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Setup ArcGIS Alternative with Google ADK

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Process BigQuery addresses with Google ADK

Running the `geocode_address` tool lets your Gemini agents take raw text addresses and convert them into precise coordinates. You can dump thousands of customer records from BigQuery into the agent's context window, and it will systematically map every single one. Working in the opposite direction, `reverse_geocode` turns raw GPS logs from your Vertex AI pipelines into readable street names. The MCP server handles the spatial translation while Gemini uses its massive context to find patterns in the location data.

Calculate logistics routes and terrain profiles

The `get_route` tool accepts multiple coordinate pairs and calculates driving, trucking, or walking directions. Logistics agents can pull delivery manifests from Google Cloud Storage and generate turn-by-turn geometry with total travel times. Adding `get_elevation` to the mix provides altitude data for every stop along the path in meters. This helps enterprise transport systems calculate fuel costs or battery drain for heavy vehicles navigating hilly terrain.

Discover local POIs and map styles

Agents use the `search_places` tool to find specific categories like hospitals, coffee shops, or gas stations near a target coordinate. You specify the search radius, and the tool returns a structured list of nearby points of interest with exact distances. When you need to visualize these locations in a custom dashboard, `get_basemap_styles` lists available map layers and thumbnail URLs. Your Google ADK setup can restrict exposure using the `tool_names` filter if you only want the agent doing spatial math without touching visualization data.

Setup guide

Set up ArcGIS Alternative 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

Install Google ADK

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

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

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 Alternative 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 Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ArcGIS Alternative tools via MCP.",
    tools=mcp_tools,
)

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Common questions about ArcGIS Alternative MCP in Google ADK

Initialize a `McpToolset` using `StreamableHttpServerParameters` pointing to your Vinkius URL. Then pass that toolset directly into your `LlmAgent` configuration.

Yes. Your agent can read coordinate pairs from a BigQuery table and feed them into the routing tool. Gemini's long context window easily handles large batches of spatial results.

Pass a specific list to the `tool_names` filter when setting up the MCP toolset. This prevents a routing agent from accidentally wasting tokens on basemap queries.

The server calculates directions for driving, trucking, and walking. You specify the mode when calling the tool to get accurate travel times for different vehicle types.

Every request runs through a zero-trust V8 sandbox that isolates your data completely. The customer addresses and routing stops you send are processed in memory and immediately discarded.

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