How to Use the Nationalize MCP in CrewAI

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Connect Nationalize MCP to CrewAI

Create your Vinkius account to connect Nationalize 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 Nationalize with CrewAI

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Assign name analysis to specialized agents

The `predict_nationality` tool analyzes surnames to determine their geographical origin. In a CrewAI setup, you can assign this tool to a dedicated Researcher Agent whose sole job is to identify where a prospect is located. Once the CrewAI Researcher Agent gets the country code from the name, it passes the data to an Analyst Agent. This multi-agent collaboration happens autonomously in CrewAI, using shared memory to keep the name-origin context consistent.

Hierarchical execution with this MCP Server

The `predict_nationality` tool provides raw country codes and probability scores for any given name. By connecting this MCP Server to your CrewAI manager agent, the manager can decide which sub-agent should handle the output. This structure keeps your CrewAI workflows organized. A CrewAI moderator agent can review the predicted Nationalize country and assign the lead to the correct regional team.

Filter tools for specific crew members

The `predict_nationality` tool is highly specialized and should not be used by every agent in your crew. CrewAI allows you to use a tool filter to expose this capability only to the agents that need it. This prevents your CrewAI writing agents from getting confused by technical name-probability data. Only the CrewAI profiling agent gets access to the `predict_nationality` tool, keeping your token usage low.

Setup guide

Set up Nationalize 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 Nationalize tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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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="Nationalize Analyst",
        goal="Access and analyze Nationalize data via MCP.",
        backstory="Expert analyst with direct Nationalize access.",
        tools=mcp_tools,
    )

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

Install the CrewAI tools package, then pass your Vinkius server URL directly in the agent's configuration list. The framework connects to the HTTP endpoint and registers the tools automatically.

Yes, you can use the MCPServerHTTP class from the CrewAI package. Apply a tool filter to expose the prediction capability only to specific agents in your crew.

Surnames carry much stronger regional signals than first names. Giving your CrewAI agent the last name ensures the tool returns a highly accurate country prediction.

CrewAI supports stdio, SSE, and Streamable HTTP transports. When using Vinkius, the framework connects over HTTP to talk to the secure sandbox.

The name strings are processed in real-time to predict nationality and are never stored. The Vinkius sandbox ensures a zero-trust execution environment, protecting the names from being cached or logged.

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