How to Use the Google Maps Platform MCP in CrewAI

Deploy a specialized crew of autonomous agents using Google Maps Platform for advanced location operations.

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Connect Google Maps Platform MCP to CrewAI

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

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Setup Google Maps Platform with CrewAI

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Claude

Perplexity

Autonomous Logistics Crew

Assign a researcher agent to use `find_place_from_text` while an analyst agent uses `get_distance_matrix` to compare routes. They work in tandem to find the most efficient path for your fleet. CrewAI manages the shared memory between them. The agents pass data back and forth until they reach a decision on the best travel plan.

Elevation and Terrain Analysis

Equip your agents with `get_elevation` to assess terrain difficulty for field operations. They can automatically adjust their strategies based on the altitude data returned. This is useful for specialized logistics where geography impacts performance. The agents interpret the elevation results and update their task priority accordingly.

Detailed Place Intelligence

Use `get_place_details` to give your agents deep context about specific locations. They can read business hours, address data, and contact info to make informed decisions. Your agents act like a human analyst reading a report. By providing this level of detail, they can complete tasks that require more than just a map coordinate.

Setup guide

Set up Google Maps Platform MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Google Maps Platform tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Google Maps Platform Analyst",
    goal="Access and analyze Google Maps Platform data via MCP.",
    backstory="Expert analyst with direct Google Maps Platform access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Google Maps Platform transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Google Maps Platform Analyst",
        goal="Access and analyze Google Maps Platform data via MCP.",
        backstory="Expert analyst with direct Google Maps Platform access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Google Maps Platform transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 Platform. 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.

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Common questions about Google Maps Platform MCP in CrewAI

You pass the server URL to your agents in the configuration. You can also use tool filters to ensure only specific agents have access to Google Maps Platform capabilities.

Yes, the server supports concurrent requests from different agents. Each agent maintains its own session, allowing for parallel research and action.

The tools are fully compatible with hierarchical setups. A manager agent can delegate location-based tasks to specialized subordinates using these functions.

We enforce strict transit security for your coordinate data. The MCP server does not save your location history, ensuring your operational privacy remains intact.

You can provide all nine available tools to your agents. We recommend filtering them by role to keep your agents focused and efficient.

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