How to Use the LocationIQ MCP in Google ADK
Connect Gemini long-context agents to LocationIQ via Google ADK to process coordinates with this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect LocationIQ MCP to Google ADK
Create your Vinkius account to connect LocationIQ 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 geocoding with Google ADK
The `search` tool translates bulk address records from your BigQuery tables into coordinates using Gemini's massive context window. Your Google ADK agent processes thousands of raw text rows in a single prompt, calling this tool to resolve locations with high precision. If coordinates are already stored, the `reverse` tool converts them back to physical street addresses for database normalization. This MCP server integrates directly with your Google Cloud pipeline, letting you clean legacy spatial data without manual scripting.
High-context routing and nearby analysis
The `directions` tool calculates routes, distances, and travel durations across complex multi-stop delivery runs. Gemini uses these metrics to plan logistics schedules, analyzing the spatial outputs alongside your Google ADK agent data. To find local resources, the `nearby` tool scans for points of interest around your fleet coordinates. The ADK handles the transport layer, letting your Gemini agent search for nearby fueling stations or maintenance bays on the fly.
Visual mapping and timezone validation
The `static_map` tool generates map images for specific coordinates, allowing your Google ADK agent to attach visual proof to enterprise reports. Your Gemini agent can write these map URLs directly to Cloud Storage or embed them in automated client emails. The `timezone` tool determines local time offsets for any coordinate, preventing scheduling conflicts across different regions. For fast input, the `autocomplete` tool resolves partial text queries, giving your Gemini agent quick access to clean geographic inputs.
Set up LocationIQ 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 LocationIQ 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="LocationIQ_agent",
model="gemini-2.0-flash",
instruction="You have access to LocationIQ 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 LocationIQ. 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 LocationIQ MCP in Google ADK
Use it with your favorite AI tools
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