How do I list all the holidays for a specific country in 2024?

Simply ask the agent to `list_holidays` and provide the Country code (e.g., 'US' or 'BR') and the year '2024'. It will retrieve the full list from Calendarific.

Can I filter holidays by type, like only religious holidays?

Yes! Use the `list_holidays_by_type` tool and provide the country, year, and type (e.g., 'religious'). Your agent will return only the matching observances.

How do I see which countries are supported by Calendarific?

Use the `list_supported_countries` tool. It will retrieve the complete directory of over 230 countries currently available in the Calendarific API.

Calendarific MCP Server for CrewAI 6 tools — connect in under 2 minutes

Name: Calendarific
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to Calendarific through Vinkius, pass the Edge URL in the `mcps` parameter and every Calendarific tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Calendarific Specialist",
    goal="Help users interact with Calendarific effectively",
    backstory=(
        "You are an expert at leveraging Calendarific tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Calendarific "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

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

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Calendarific MCP Server

Connect your Calendarific account to any AI agent and orchestrate your global scheduling, vacation planning, and local observability through natural conversation.

When paired with CrewAI, Calendarific becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Calendarific tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Holiday Oversight — List all public, religious, and local holidays for a specific country and year.
Regional Observability — Filter holidays by state or region to ensure your planning accounts for local variations.
Categorized Discovery — List holidays by type, such as National, Observance, or Religious holidays.
Country & Language Directory — Access the list of 230+ supported countries and their respective ISO codes.
Date-Specific Queries — Retrieve holidays for a specific month or day to verify work availability.
Reference Data — Get detailed metadata for each holiday, including descriptions and observance regions.

The Calendarific MCP Server exposes 6 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Calendarific to CrewAI via MCP

Follow these steps to integrate the Calendarific MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from Calendarific

Why Use CrewAI with the Calendarific MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Calendarific through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Calendarific + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Calendarific MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Calendarific for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Calendarific, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Calendarific tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Calendarific against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Calendarific MCP Tools for CrewAI (6)

These 6 tools become available when you connect Calendarific to CrewAI via MCP:

get_account_info

Check the status of the integration

list_holidays

List holidays for a specific country and year

list_holidays_by_location

List holidays for a specific state or region

list_holidays_by_type

List holidays filtered by type (e.g. national, religious)

list_supported_countries

List all supported countries and their ISO codes

list_supported_languages

List all supported languages

Example Prompts for Calendarific in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Calendarific immediately.

"List all public holidays in Brazil for 2024."

"Are there any holidays in New York (US-NY) on December 25th?"

"Show me the religious holidays in Italy for 2024."

Troubleshooting Calendarific MCP Server with CrewAI

Common issues when connecting Calendarific to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Calendarific + CrewAI FAQ

Common questions about integrating Calendarific MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.