Google Maps Platform MCP Server for Pydantic AI 9 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Google Maps Platform through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Platform "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in Google Maps Platform?"
)
print(result.data)
asyncio.run(main())
* 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 Platform MCP Server
Connect Google Maps Platform to any AI agent and access the world's most accurate location intelligence — from turn-by-turn directions and distance matrices to rich place details and timezone data.
Pydantic AI validates every Google Maps Platform tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through 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 — Convert any address into precise latitude/longitude coordinates
- Place Details — Get comprehensive info for any business (hours, phone, ratings, reviews)
- Directions & Routing — Calculate routes for driving, walking, cycling, or public transit
- Distance Matrix — Compare travel times and distances between multiple locations
- Nearby Search — Find businesses or points of interest around a specific location
- Elevation & Timezone — Get altitude data and timezone info for any coordinate
The Google Maps Platform MCP Server exposes 9 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 Platform to Pydantic AI via MCP
Follow these steps to integrate the Google Maps Platform 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 9 tools from Google Maps Platform with type-safe schemas
Why Use Pydantic AI with the Google Maps Platform MCP Server
Pydantic AI provides unique advantages when paired with Google Maps Platform 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 Platform 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 Platform connection logic from agent behavior for testable, maintainable code
Google Maps Platform + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Google Maps Platform MCP Server delivers measurable value.
Type-safe data pipelines: query Google Maps Platform with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Google Maps Platform 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 Platform and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Google Maps Platform responses and write comprehensive agent tests
Google Maps Platform MCP Tools for Pydantic AI (9)
These 9 tools become available when you connect Google Maps Platform to Pydantic AI via MCP:
find_place_from_text
Useful to get the Place ID or location before getting details. Find a place based on a text query
geocode_address
g., "1600 Amphitheatre Parkway, Mountain View, CA") and need the exact GPS coordinates. Returns the formatted address and the place_id. Convert a physical address into geographic coordinates (latitude/longitude)
get_directions
Supports modes: "driving" (default), "walking", "bicycling", "transit". Get travel directions between two points
get_distance_matrix
Origins and destinations can be single or multiple addresses/coordinates separated by pipe (|). Calculate travel distance and time for multiple origins and destinations
get_elevation
Input can be single "lat,lng" or multiple locations. Get elevation data for locations on the earth
get_place_details
Requires a valid Place ID obtained from other search tools. Get detailed information about a specific place using its Place ID
get_timezone
Essential for scheduling across time zones. Get timezone information for a specific location
reverse_geocode
Useful for identifying locations from GPS data. Convert GPS coordinates back into a physical address
search_nearby_places
You can filter by "type" (e.g., "restaurant", "gas_station") or "keyword". Radius is in meters. Search for places of interest near a specific coordinate
Example Prompts for Google Maps Platform in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Google Maps Platform immediately.
"Find the address for 'Statue of Liberty'."
"Get directions from Times Square to Central Park."
"Find coffee shops near 'Pike Place Market'."
Troubleshooting Google Maps Platform MCP Server with Pydantic AI
Common issues when connecting Google Maps Platform to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGoogle Maps Platform + Pydantic AI FAQ
Common questions about integrating Google Maps Platform MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Google Maps Platform with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Google Maps Platform to Pydantic AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.