How to Use the Google Contacts MCP in CrewAI

Q: Can CrewAI use this MCP Server to search Google Contacts for my team?

Yes, you add the searchcontacts tool to your agent definition. The crew can then query your address book as part of their research phase.

Q: How do I restrict CrewAI from deleting Google Contacts?

You use the toolfilter parameter to exclude deletecontact from your agent's capability list. This prevents the crew from executing any destructive actions.

Deploy autonomous research crews to manage your Google Contacts with this MCP Server.

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Connect Google Contacts MCP to CrewAI

Create your Vinkius account to connect Google Contacts 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 Contacts with CrewAI

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Autonomous research agents

Task a research agent to use `list_contacts` and `get_contact` to build profiles for your upcoming meetings. The agent compiles the data and hands it off to your analyst agent. This allows your crew to prepare for calls without you lifting a finger. They gather the context from your address book before your calendar event starts.

Collaborative contact management

Assign a moderator agent to use `update_contact` while a researcher agent verifies the info. CrewAI coordinates the memory between them so they don't duplicate work. This ensures your contact records stay current as your crew discovers new details. The agents work in a sequence you define to keep the data accurate.

Escalation workflows

Set up a crew that uses `search_contacts` to find key stakeholders. If the agent finds multiple matches, it can escalate the task to you for a final decision. This prevents the agent from guessing which contact to use. It keeps the workflow moving while ensuring critical actions have your sign-off.

Setup guide

Set up Google Contacts 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 Contacts tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Yes, you add the `search_contacts` tool to your agent definition. The crew can then query your address book as part of their research phase.

The agents share the tool results within the crew's memory. This allows one agent to find a contact and another to update it.

You use the tool_filter parameter to exclude `delete_contact` from your agent's capability list. This prevents the crew from executing any destructive actions.

The agents wait for the tool response before proceeding with their task. You can configure your MCP transport to handle longer timeouts if necessary.

The MCP Server ensures that only authorized agents interact with your data. Every request is isolated within the sandbox and requires your API credentials.

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