Google Maps MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes
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.
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 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())
* 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.
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.
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 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.
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 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Google Maps MCP Server delivers measurable value.
Automated workflows: build agents that query Google Maps, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Google Maps, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Google Maps tools and transform it with OpenAI models in a single async loop
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:
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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Google Maps 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 + OpenAI Agents SDK FAQ
Common questions about integrating Google Maps 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 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 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.
