How to Use the Age Calculator MCP in CrewAI

Deploy a collaborative crew of agents to analyze age milestones and plan events using CrewAI.

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…and any MCP-compatible client

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Connect Age Calculator MCP to CrewAI

Create your Vinkius account to connect Age Calculator to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Age Calculator with CrewAI

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Collaborative age analysis in CrewAI

Right. The `calculate_current_age` tool allows your research agent to verify user demographics. This MCP delivers the raw numbers, and another agent then uses this age data to draft personalized content. This multi-agent setup lets specialized roles collaborate. You get deep demographic insights without writing complex parsing logic.

Weekday demographic profiling

Your crew runs `identify_birth_weekday` to group users by their birth day of the week. A marketing agent analyzes these groups to find trends. The entire operation runs autonomously based on your shared team memory.

Autonomous milestone planning

We use `get_upcoming_birthday_info` to let a planning agent coordinate upcoming events. The agent calculates the remaining time and tasks a coordinator agent with scheduling the delivery of promotional materials.

Setup guide

Set up Age Calculator 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 Age Calculator tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Age Calculator 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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