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Google Maps MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Google Maps through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
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 Assistant",
            instructions=(
                "You help users interact with Google Maps. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Google Maps"
        )
        print(result.final_output)

asyncio.run(main())
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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.

The OpenAI Agents SDK auto-discovers all 4 tools from Google Maps through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Google Maps, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 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 to OpenAI Agents SDK via MCP

Follow these steps to integrate the Google Maps MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 4 tools from Google Maps

Why Use OpenAI Agents SDK with the Google Maps MCP Server

OpenAI Agents SDK provides unique advantages when paired with Google Maps through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Google Maps + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Google Maps MCP Server delivers measurable value.

01

Automated workflows: build agents that query Google Maps, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Google Maps, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Google Maps tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Google Maps to resolve tickets, look up records, and update statuses without human intervention

Google Maps MCP Tools for OpenAI Agents SDK (4)

These 4 tools become available when you connect Google Maps to OpenAI Agents SDK via MCP:

01

directions

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

02

geocode

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

03

place_details

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

04

place_search

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

Example Prompts for Google Maps in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Google Maps immediately.

01

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

02

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

03

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

Troubleshooting Google Maps MCP Server with OpenAI Agents SDK

Common issues when connecting Google Maps to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Google Maps + OpenAI Agents SDK FAQ

Common questions about integrating Google Maps MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Google Maps to OpenAI Agents SDK

Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.