How to Use the Jawg Maps (Location & Routing) MCP in Google ADK

Q: How do I connect Jawg Maps (Location & Routing) to my Google ADK agent?

You initialize the server using the McpToolset class with the Vinkius HTTP endpoint. Once registered, the toolset exposes tools like calculateroutingline directly to your Gemini model as standard function calls.

Q: Can I limit which tools this MCP Server exposes to Google ADK?

Yes, you can use the toolnames filter when instantiating your McpToolset. This lets you restrict your agent to search tools like searchautocomplete while hiding resource-intensive routing endpoints.

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Connect Jawg Maps (Location & Routing) MCP to Google ADK

Create your Vinkius account to connect Jawg Maps (Location & Routing) 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 Jawg Maps (Location & Routing) with Google ADK

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Scale spatial data with Google ADK and MCP Server

`reverse_geocode` and `search_map_places` let your Google ADK agents enrich raw coordinate tables pulled directly from BigQuery. The agent reads millions of rows of raw coordinates and calls these tools to resolve them into readable physical addresses. Because Gemini handles massive context windows, your agent can process hundreds of address resolutions in a single turn. The agent coordinates the mapping calls and writes the structured address data directly back to your Google Cloud data warehouse.

Multi-destination routing for Google ADK

Integrating this MCP toolset allows `calculate_distance_matrix` to let Google ADK agents calculate travel times and distances between dozens of delivery hubs. The agent uses this matrix to solve complex vehicle routing problems right inside your enterprise pipeline. To map out the actual roads, the agent uses `calculate_routing_line` to generate the exact path coordinates. The agent can then display these paths on internal Vertex AI dashboards or pass them to field drivers.

Isochrone mapping for Gemini agents

This MCP Server exposes `calculate_reachability_isochrone` and `calculate_distance_isochrone` to let your Google ADK agents calculate service areas based on travel times. This is critical when your enterprise agent needs to decide where to build a new distribution center based on drive-time coverage. For heavy transport planning, the agent calls `calculate_elevation_routing` to check for steep inclines that might impact fuel consumption. The agent pairs this elevation profile with historical fleet data to predict exact fuel costs within Google Cloud.

Setup guide

Set up Jawg Maps (Location & Routing) 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 Jawg Maps (Location & Routing) 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="Jawg Maps (Location & Routing)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Jawg Maps (Location & Routing) tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jawg Maps. 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 Jawg Maps (Location & Routing) MCP in Google ADK

You initialize the server using the `McpToolset` class with the Vinkius HTTP endpoint. Once registered, the toolset exposes tools like `calculate_routing_line` directly to your Gemini model as standard function calls.

Yes, this is a major advantage of the ecosystem. Your agent can query coordinate tables from BigQuery and immediately feed those points into `calculate_distance_matrix` to analyze transit times without manual data exports.

Gemini's massive context window lets your agent hold thousands of elevation points from `get_path_elevation` simultaneously. The agent can analyze complex terrain profiles for entire shipping routes in a single prompt without losing historical context.

Yes, you can use the `tool_names` filter when instantiating your `McpToolset`. This lets you restrict your agent to search tools like `search_autocomplete` while hiding resource-intensive routing endpoints.

All coordinates, elevation profiles, and distance matrices sent to tools like `calculate_elevation_routing` are processed in an isolated V8 sandbox. Your proprietary logistics data is never stored on disk or used to train any public models.

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