How to Use the Nager.Date MCP in CrewAI

Coordinate multi-agent logistics crews in CrewAI with global holiday planning.

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Connect Nager.Date MCP to CrewAI

Create your Vinkius account to connect Nager.Date 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 Nager.Date with CrewAI

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Collaborative supply chain scheduling

Your logistics agent queries `get_next_holidays_worldwide` to identify upcoming closures across your shipping lanes. It then passes these dates to your routing agent, which adjusts delivery schedules in CrewAI without human intervention. This multi-agent team uses `get_country_details` to verify regional customs regulations during those events. You avoid terminal storage fees because the agents coordinate the route changes among themselves in real-time.

Autonomous support staffing with this MCP Server

Your scheduling agent checks `is_holiday_today` to flag regional office closures for the upcoming week. It shares this status with your staffing agent, which automatically reallocates customer support tickets to open regions. The crew relies on `get_public_holidays` to map out seasonal support coverage months in advance. This prevents coverage gaps because the agents update the team calendar autonomously based on official country data.

Automated compliance auditing

Your compliance agent calls `list_available_countries` to build a baseline registry of active shipping jurisdictions. It then triggers `get_next_holidays` for each country, ensuring your financial reporting deadlines don't conflict with local banking closures. The agents use this data to reschedule transaction audits automatically. This setup keeps your operations compliant without requiring manual calendar audits by your legal or operations teams.

Setup guide

Set up Nager.Date 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 Nager.Date tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server's HTTP endpoint directly into the agent's mcps array during initialization. Using the standard MCP protocol grants that specific agent exclusive access to tools like `get_public_holidays` while keeping other agents focused on their own tasks.

Yes, CrewAI agents use shared memory to pass tool outputs. Once your logistics agent retrieves upcoming closures using `get_next_holidays_worldwide`, that data is immediately available to the routing agent for route optimization.

Yes, CrewAI supports stdio, SSE, and Streamable HTTP transports. You can connect your crew to this server hosted on Vinkius with a single API token, allowing agents to query global holiday data instantly.

You can use CrewAI's tool filter configuration to limit how often agents call `is_holiday_today`. Restricting tool access to a single coordinator agent prevents redundant calls across your multi-agent team.

Yes. The server only processes public calendar dates and country codes. Your internal crew configurations, agent prompts, and proprietary business schedules are never sent to the Nager.Date API.

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