How to Use the Genderize MCP in CrewAI

Q: Can I restrict Genderize tools in CrewAI?

Use the toolfilter option to give specific agents access to specific tools. This keeps your agents focused on their defined roles.

Q: How do I monitor Genderize status in CrewAI?

Add an agent with the verifyapiconnection tool to your crew. It can check the service health before your main agents start their work.

Deploy a CrewAI team to research and categorize names with the Genderize MCP Server.

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Connect Genderize MCP to CrewAI

Create your Vinkius account to connect Genderize 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 Genderize with CrewAI

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Perplexity

Assign Genderize tasks in CrewAI

Give your research agent access to `estimate_gender` to enrich profiles. The agent decides when to call the tool based on its current focus. This allows your crew to handle large datasets of names without manual intervention. It fits right into your existing agent delegation logic.

Batch processing with CrewAI

Use `estimate_genders_bulk` when your crew needs to process a full list of contacts. One agent call handles the heavy lifting. Your crew stays efficient by reducing the number of total requests. It keeps your process running smoothly without hitting API limits.

Regional research with CrewAI

Equip your agents with `estimate_gender_france` or `estimate_gender_us` for localized tasks. The crew selects the tool that matches the contact's region. This role-based approach ensures you get the most accurate data possible. Your agents handle the complexity so you don't have to.

Setup guide

Set up Genderize 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 Genderize tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL to the mcps parameter in your agent definition. CrewAI automatically maps the tools for your agents to use.

Use the tool_filter option to give specific agents access to specific tools. This keeps your agents focused on their defined roles.

The server works on a request-response basis with the first names provided. It does not store any of your agent's findings or contact data.

Agents can store the results of their tool calls in their shared memory. This allows other agents in the crew to reference the gender data later.

Add an agent with the `verify_api_connection` tool to your crew. It can check the service health before your main agents start their work.

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

Mastra AI sdk-typescript

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