How to Use the Google Maps MCP in AutoGen

Q: How do my AutoGen agents search for places using Google Maps?

You pass the placesearch tool to your AssistantAgent. The agents will then debate the search parameters and execute the tool to find the best results.

Q: Can AutoGen agents use Google Maps to decide on a route?

They can. By using the directions tool, your agents can compare different routing options and debate which one meets your specific delivery criteria.

Q: How do I integrate Google Maps into my AutoGen conversation flow?

Use the McpToolAdapter to convert the server tools into a format your agents understand. Once registered, they will use them as part of their standard deliberation process.

Coordinate multi-agent debates with the Google Maps MCP Server inside AutoGen.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Google Maps MCP to AutoGen

Create your Vinkius account to connect Google Maps to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Google Maps with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate routes using AutoGen agents

Assign one agent to use `directions` while another verifies the cost. They negotiate the best path based on real-time traffic data returned by the server. This conflict resolution ensures your system picks the most efficient route. You get a consensus-driven output that considers multiple constraints simultaneously.

Verify locations with AutoGen and Google Maps

Use `geocode` to feed coordinate data to your agents. One agent confirms the address accuracy, while another uses `place_details` to confirm business hours. This multi-agent verification prevents errors before they reach your final output. It creates a robust system where agents challenge each other's assumptions about a location.

Search and reconcile with the Google Maps MCP Server

Deploy `place_search` to gather candidates for your agents to discuss. They compare the results of different searches to arrive at a single, validated location. Your system performs complex lookups where the answer isn't obvious. The agents negotiate until they agree on the correct place ID for the task at hand.

Setup guide

Set up Google Maps MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Google Maps tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Google Maps_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Google Maps data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Google Maps_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Google Maps data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Maps. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Google Maps now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Google Maps MCP in AutoGen

You pass the `place_search` tool to your `AssistantAgent`. The agents will then debate the search parameters and execute the tool to find the best results.

They can. By using the `directions` tool, your agents can compare different routing options and debate which one meets your specific delivery criteria.

Use the `McpToolAdapter` to convert the server tools into a format your agents understand. Once registered, they will use them as part of their standard deliberation process.

Yes. It handles concurrent requests efficiently, allowing multiple agents to query location data without blocking the conversation flow.

The server operates in a zero-trust sandbox. Your location queries are encrypted in transit, and the server never stores your sensitive API credentials between individual agent sessions.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript