How to Use the Country Data Resolver MCP in CrewAI

Equip your CrewAI teams with the Country Data Resolver to automate international recordkeeping.

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Connect Country Data Resolver MCP to CrewAI

Create your Vinkius account to connect Country Data Resolver 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 Country Data Resolver with CrewAI

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Autonomous research for CrewAI teams

When your CrewAI agents need to format international data, they call `resolve_country` automatically. One agent can gather the codes, and another agent uses this tool to provide the human-readable names for your final report. This removes the need for manual data cleaning. The crew handles the entire translation process, ensuring the final output is ready for your CRM.

Specialized lookup tasks in CrewAI

You can assign a specific 'Data Agent' in your CrewAI team to manage these lookups. By isolating the tool to this agent, you keep your team organized and your tool usage efficient. It supports sequential tasks where the output of one agent serves as the input for the next. The country resolution happens in the background while the rest of the crew continues their work.

Regional standardization for global crews

Your CrewAI agents can now normalize data across four languages. If your crew is tasked with monitoring global sales, they use this tool to ensure every location is identified correctly. It provides the alpha-3 and numeric codes needed for international compliance. Your agents simply include these values in their final summary without human intervention.

Setup guide

Set up Country Data Resolver 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 Country Data Resolver tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Country Data Resolver 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 →

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Common questions about Country Data Resolver MCP in CrewAI

You pass the MCP server URL into the agent's configuration. The crew will then have access to the resolution tool during their tasks.

Yes, CrewAI agents share memory. Once one agent resolves a code, the rest of the crew has access to that information.

The lookups are fast and happen in parallel with other agent activities. Your crew's performance remains high during the data resolution phase.

It will. You can configure your agents to request specific language outputs based on the target region for their report.

Your country code input is kept within your secure session. We perform the lookup in an isolated environment and do not retain any of your records.

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