Google Maps Platform MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Google Maps Platform through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Google Maps Platform Assistant",
instructions=(
"You help users interact with Google Maps Platform. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Google Maps Platform"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 9 tools from Google Maps Platform through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Google Maps Platform, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Google Maps Platform MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from Google Maps Platform
Why Use OpenAI Agents SDK with the Google Maps Platform MCP Server
OpenAI Agents SDK provides unique advantages when paired with Google Maps Platform through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Google Maps Platform + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Google Maps Platform MCP Server delivers measurable value.
Automated workflows: build agents that query Google Maps Platform, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Google Maps Platform, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Google Maps Platform tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Google Maps Platform to resolve tickets, look up records, and update statuses without human intervention
Google Maps Platform MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Google Maps Platform to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Google Maps Platform to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Google Maps Platform + OpenAI Agents SDK FAQ
Common questions about integrating Google Maps Platform MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.