Where do I find my Radar API key?

Log into your Radar dashboard. Under 'Project Settings' or the dedicated API keys section, look for your 'Publishable Key'. This is the standard read-only key used for client integrations and MCP operations.

Should I use the Publishable Key or the Secret Key?

Always use the **Publishable Key** for this MCP server instance if possible, as the operations (geocoding, routing, lookup) are typically safe read-only spatial actions.

Can it calculate multi-stop routes like a delivery app?

Yes, but indirectly through distance comparisons. The basic routing API fetches times from Point A to Point B. The AI can chain these requests together to establish an estimated schedule contextually in your chat.

Radar MCP Server for Google ADK 10 tools — connect in under 2 minutes

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Radar as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="radar_agent",
    instruction=(
        "You help users interact with Radar "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Radar MCP Server

Integrate Radar with an AI agent to bring enterprise-level location intelligence directly to your workflow. This server allows the AI to perform complex spatial lookups and geographical computations on your behalf.

Google ADK natively supports Radar as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Geocoding & Reverse Geocoding — Convert readable addresses into exact coordinates (latitude/longitude), or vice versa.
Route Calculation — Determine distance and driving times between multiple locations, predicting transit metrics efficiently.
Geofencing & Context — Check whether specific coordinates fall within defined geographical boundaries (e.g., regions, stores, administrative borders).
IP Geolocation — Locate a user or device strictly based on an IP address.

The Radar MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Radar to Google ADK via MCP

Follow these steps to integrate the Radar MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Radar via MCP

Why Use Google ADK with the Radar MCP Server

Google ADK provides unique advantages when paired with Radar through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Radar

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Radar tools with BigQuery, Vertex AI, and Cloud Functions

Radar + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Radar MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Radar and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Radar tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Radar regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Radar

Radar MCP Tools for Google ADK (10)

These 10 tools become available when you connect Radar to Google ADK via MCP:

autocomplete

Provides address or place suggestions as a user types

calculate_route_distance

Calculates travel distance and duration between two points

calculate_routing_matrix

Calculates travel times and distances between multiple origins and destinations

forward_geocode

Converts a human-readable address into geographic coordinates (latitude and longitude)

get_location_context

Retrieves contextual information for a location, such as geofences and weather

ip_geocode

Retrieves geographic location information based on an IP address

reverse_geocode

Converts geographic coordinates into a human-readable address

search_geofences

Searches for active geofences near a specific location

search_places

Searches for nearby places (POIs) based on coordinates

validate_address

Validates and cleans up a structured address

Example Prompts for Radar in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Radar immediately.

"Geocode '1600 Amphitheatre Parkway, Mountain View, CA'."

"Find the driving distance between my office in San Francisco (lat, lng) and the San Jose airport."

"Locate the country based on the IP address 8.8.8.8."

Troubleshooting Radar MCP Server with Google ADK

Common issues when connecting Radar to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Radar + Google ADK FAQ

Common questions about integrating Radar MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.