Where do I get a MapQuest API Key?

You can get a free 'Consumer Key' by signing up at the [MapQuest Developer Network](https://developer.mapquest.com/). The free tier includes a generous amount of monthly transactions.

Does it support international addresses?

Yes, MapQuest provides global geocoding and routing coverage for most countries worldwide.

MapQuest MCP Server for Google ADK 5 tools — connect in under 2 minutes

Name: MapQuest
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 5 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add MapQuest 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="mapquest_agent",
    instruction=(
        "You help users interact with MapQuest "
        "using 5 available tools."
    ),
    tools=[mcp_tools],
)

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About MapQuest MCP Server

Connect your AI agent to MapQuest, one of the pioneers in online mapping. This integration provides essential geographic tools, from converting addresses to coordinates to calculating detailed travel routes.

Google ADK natively supports MapQuest as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 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 — Convert street addresses into precise latitude and longitude coordinates
Reverse Geocoding — Identify the human-readable address for any GPS coordinate
Detailed Directions — Get turn-by-turn routing for driving, walking, or cycling, including distance and time estimates
POI Search — Find nearby businesses and points of interest like restaurants, gas stations, or parks
Static Maps — Generate URLs for visual map images centered on any location

The MapQuest MCP Server exposes 5 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 MapQuest to Google ADK via MCP

Follow these steps to integrate the MapQuest 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 5 tools from MapQuest via MCP

Why Use Google ADK with the MapQuest MCP Server

Google ADK provides unique advantages when paired with MapQuest 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 MapQuest

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 MapQuest tools with BigQuery, Vertex AI, and Cloud Functions

MapQuest + Google ADK Use Cases

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

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

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

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

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

MapQuest MCP Tools for Google ADK (5)

These 5 tools become available when you connect MapQuest to Google ADK via MCP:

geocode_address

Convert an address into geographic coordinates (latitude and longitude)

get_directions

Get driving, walking, or cycling directions between two locations

get_static_map_url

Generate a static map image URL for a specific location

reverse_geocode

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

search_points_of_interest

Search for specific places (restaurants, gas stations, etc.) around a location

Example Prompts for MapQuest in Google ADK

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

"What are the coordinates for the White House?"

"Get driving directions from New York to Philadelphia."

Troubleshooting MapQuest MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

MapQuest + Google ADK FAQ

Common questions about integrating MapQuest 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.