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How to Use the Holiday API MCP in LlamaIndex

Turn global holiday data into a queryable knowledge base. Connect the Holiday API to your LlamaIndex RAG setup.

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Connect Holiday API MCP to LlamaIndex

Create your Vinkius account to connect Holiday API to LlamaIndex 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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Index Holiday Data for Semantic Search

Stop making repeated API calls for the same information. Use the `get_holidays` tool to fetch data for your key operating countries, then let LlamaIndex ingest those results directly into a vector store. Your agent's knowledge base is now grounded in real holiday data. Now you can ask questions like, "What public holidays does our Spanish office have in Q4?" instead of writing code to parse API responses. The agent queries the index and gives you a direct, accurate answer based on the data it ingested.

Augment Documents with Live Date Logic

Your agent can now connect static documents to live calendar math. Imagine a RAG agent analyzing a shipping contract. It can extract the delivery SLA, then use `get_workdays_count` to check if the proposed timeline is even possible given the destination country's holidays. This moves your agent from simple Q&A to active analysis. It's not just retrieving facts; it's using this MCP Server to validate information found in your knowledge base against real-world constraints.

Build a Self-Updating Holiday Index

You can create a simple ingestion pipeline. First, call `list_supported_countries` to get the full list of regions. Then, have your LlamaIndex agent periodically call `get_holidays` for the upcoming year for each of those countries and update your vector index. This gives you a low-maintenance, self-refreshing knowledge source for all global holidays. Your HR and logistics agents will always have up-to-date information without any manual data entry.

Setup guide

Set up Holiday API MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Holiday API MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Holiday API tools.",
)
response = await agent.run("List recent Holiday API data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Holiday API. 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 Holiday API MCP in LlamaIndex

You wrap the MCP client in a `McpToolSpec` which exposes the tools to a LlamaIndex agent. The agent can then use `get_holidays` or `get_workdays_count` as functions to answer a query, combining API data with documents in your index.
Yes. When you create the `McpToolSpec`, you can pass an `allowed_tools` list. This lets you restrict an agent to only use specific functions, like giving an HR agent `get_holidays` but not `get_next_workday`.
Index the data for facts that don't change often, like the list of 2024 holidays. Use it as a live tool for calculations that depend on a specific input, like using `get_next_workday` to find the delivery date for a new order.
Install the `llama-index-tools-mcp` package. Then, instantiate the `BasicMCPClient` with your Vinkius endpoint URL and pass it to the `McpToolSpec`. From there, you can get the tool list for your agent.
The MCP Server only sees the data for a single request, like a country code and year. Vinkius isolates these requests. The bigger consideration for you is securing the vector database where LlamaIndex stores the indexed holiday data.

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