Can my agent find the latitude and longitude of an address via Google Maps?

Yes. Use the 'geocode' tool. Provide the physical address or location name, and the agent will translate the string into precise geographic coordinates required for spatial analysis flawlessly.

How do I get reviews and opening hours for a restaurant via chat?

First, use 'place_search' to find the restaurant and its PlaceID. Then, use 'place_details' with that ID. Your agent will fetch the full payload including reviews, ratings, and operating hours natively.

Can I calculate the driving time between two cities through the agent?

Absolutely. Use the 'directions' tool. Provide the origin and destination addresses and set the mode to 'driving'. The agent will return the distance and estimated time of arrival (ETA) synchronously.

Google Maps MCP Server for Pydantic AI 4 tools — connect in under 2 minutes

ai.pydantic.dev/mcp

Built by Vinkius GDPR 4 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Google Maps through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Google Maps "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Google Maps?"
    )
    print(result.data)

asyncio.run(main())

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* 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 Google Maps MCP Server

Connect your Google Maps Platform account to any AI agent and take full control of your geospatial intelligence, place discovery, and routing through natural conversation.

Pydantic AI validates every Google Maps tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Geocoding Orchestration — Convert physical addresses or location names into precise geographic coordinates (Latitude/Longitude) translating human readable locations into spatial API bounds flawlessly
Place Discovery — Finds physical entities within Google Maps database matching text queries like 'Restaurants in New York', retrieving critical PlaceIDs for deep introspection natively
Rich Metadata Retrieval — Retrieve deep details of specific places including phone numbers, user reviews, opening hours, and websites using PlaceIDs to bypass generic search arrays synchronously
Route & ETA Calculation — Triggers routing engine identifying physical transit maps resolving directions, distance, and optimal time calculations between origin and destination bounds flawlessly
Travel Mode Support — Execute directions queries for driving, walking, bicycling, or transit modes to verify travel logistics and ETAs synchronously across your environment
Geospatial Intelligence — Analyze specific localized coordinates to verify presence and proximity of businesses or landmarks within the Google Maps ecosystem securely

The Google Maps MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI 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 Google Maps to Pydantic AI via MCP

Follow these steps to integrate the Google Maps MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from Google Maps with type-safe schemas

Why Use Pydantic AI with the Google Maps MCP Server

Pydantic AI provides unique advantages when paired with Google Maps through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Google Maps integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Google Maps connection logic from agent behavior for testable, maintainable code

Google Maps + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Google Maps MCP Server delivers measurable value.

Type-safe data pipelines: query Google Maps with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Google Maps tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Google Maps and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Google Maps responses and write comprehensive agent tests

Google Maps MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect Google Maps to Pydantic AI via MCP:

directions

Calculate ETA, distance, and optimal route directions between origin and destination

geocode

Convert an address or location name into precise geographic coordinates (Latitude / Longitude)

place_details

Get deep details of a specific Place (Phone number, reviews, opening hours, website) using its PlaceID

place_search

Search for businesses, restaurants, or spots (e.g. "Pizza in New York", "Hospitals near me")

Example Prompts for Google Maps in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Google Maps immediately.

"Geocode this address: '1600 Amphitheatre Pkwy, Mountain View, CA'"

"Find pizza restaurants in Brooklyn and show me details for the best one"

"Get directions from San Francisco to San Jose by train"

Troubleshooting Google Maps MCP Server with Pydantic AI

Common issues when connecting Google Maps to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Google Maps + Pydantic AI FAQ

Common questions about integrating Google Maps MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Google Maps MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.