How to Use the Google Maps MCP in CrewAI

Q: How do I share Google Maps tools among different CrewAI agents using an MCP setup?

Pass your server URL directly into the mcps array of each agent. This gives both your research and routing agents access to tools like geocode and directions simultaneously.

Q: Can I limit which tools are exposed to my agents?

Yes, you can use MCPServerHTTP with a toolfilter to only expose specific capabilities like geocoding while keeping routing tools hidden from researchers.

Deploy specialized CrewAI agent teams that coordinate to research local venues and calculate route logistics using Google Maps.

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Connect Google Maps MCP to CrewAI

Create your Vinkius account to connect Google Maps 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 with CrewAI

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Multi-agent dispatch coordination

The `directions` tool gives your CrewAI logistics agent the exact metrics needed to coordinate with other agents in the team. While a researcher agent finds delivery addresses, a routing agent uses this tool to calculate optimal driving paths and travel times. Because CrewAI supports shared memory, the calculated routes and coordinates are instantly accessible to the rest of the crew. This allows a supervisor agent to monitor progress and adjust assignments dynamically based on real-time traffic updates.

Autonomous address cleaning with this MCP Server

The `geocode` tool allows your CrewAI validation agent to verify ambiguous physical locations before handing them off to a dispatcher agent. The agent takes raw, unformatted text inputs from customers, processes them through the MCP Server, and outputs clean coordinates. If the coordinates point to an invalid location, the agent can autonomously flag the record and alert a customer service agent. This prevents bad address data from entering your backend database and ruining your delivery schedules.

Targeted local business intelligence

The `place_search` tool enables your CrewAI research agent to find specific business categories in any city and extract their contact details. A separate analyst agent can then use `place_details` to pull reviews and opening hours, ranking the businesses based on customer sentiment. This division of labor allows your crew to build highly targeted lists of local services without human intervention. The entire operation runs sequentially or hierarchically, depending on how you structure your team's execution process.

Setup guide

Set up Google Maps 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 tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Google Maps 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 Analyst",
        goal="Access and analyze Google Maps data via MCP.",
        backstory="Expert analyst with direct Google Maps access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Google Maps 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. 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 MCP in CrewAI

Pass your server URL directly into the `mcps` array of each agent. This gives both your research and routing agents access to tools like `geocode` and `directions` simultaneously.

Yes. You can configure a hierarchical crew where a supervisor agent decides when a subordinate agent should use `place_search` to find locations, preventing unnecessary MCP tool calls.

The framework's internal error-handling loops catch network drops or API issues. If a tool call fails, the agent will try a different search query or report the issue to the moderator agent.

Yes, you can use `MCPServerHTTP` with a tool_filter to only expose specific capabilities like geocoding while keeping routing tools hidden from researchers.

This server handles your raw search queries and coordinates inside isolated, ephemeral execution environments. No data is stored, cached, or logged on Vinkius infrastructure, ensuring strict data privacy.

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