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Nager.Date MCP Server for LlamaIndex 6 tools — connect in under 2 minutes

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Nager.Date as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Nager.Date. "
            "You have 6 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Nager.Date?"
    )
    print(response)

asyncio.run(main())
Nager.Date
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About Nager.Date MCP Server

Empower your AI agent to orchestrate your entire public holiday and global event research workflow with Nager.Date, the open source API for world holidays. By connecting Nager.Date to your agent, you transform complex calendar auditing into a natural conversation. Your agent can instantly retrieve public holidays for over 100 countries, audit upcoming events worldwide, and identify regional variations without you ever touching a manual calendar. Whether you are planning international logistics or managing global product launches, your agent acts as a real-time event consultant, ensuring your schedules are always accurate and well-informed.

LlamaIndex agents combine Nager.Date tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Holiday Auditing — Retrieve all public holidays for any specific country and year to maintain a clear view of global event cycles.
  • Real-time Status — Check if today is a public holiday in any country to assist in immediate operational decision-making.
  • Event Discovery — Retrieve the next occurring public holidays worldwide to understand global temporal patterns instantly.
  • Regional Intelligence — Query country-specific details, including common names and geographic regions, to assist in localization.
  • Global Discovery — List all available countries in the Nager.Date catalog to identify regional event markers.

The Nager.Date MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex 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 Nager.Date to LlamaIndex via MCP

Follow these steps to integrate the Nager.Date MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 6 tools from Nager.Date

Why Use LlamaIndex with the Nager.Date MCP Server

LlamaIndex provides unique advantages when paired with Nager.Date through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Nager.Date tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Nager.Date tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Nager.Date, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Nager.Date tools were called, what data was returned, and how it influenced the final answer

Nager.Date + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Nager.Date MCP Server delivers measurable value.

01

Hybrid search: combine Nager.Date real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Nager.Date to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Nager.Date for fresh data

04

Analytical workflows: chain Nager.Date queries with LlamaIndex's data connectors to build multi-source analytical reports

Nager.Date MCP Tools for LlamaIndex (6)

These 6 tools become available when you connect Nager.Date to LlamaIndex via MCP:

01

get_country_details

Get additional details for a specific country

02

get_next_holidays

Get the next public holidays for a specific country

03

get_next_holidays_worldwide

Get the next public holidays occurring worldwide

04

get_public_holidays

Get all public holidays for a country and year

05

is_holiday_today

Check if today is a public holiday in a country

06

list_available_countries

Date. List all countries supported by Nager.Date

Example Prompts for Nager.Date in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Nager.Date immediately.

01

"What are the public holidays in 'US' for 2024 using Nager.Date?"

02

"Is today a public holiday in Brazil?"

03

"Show the next 5 public holidays occurring worldwide."

Troubleshooting Nager.Date MCP Server with LlamaIndex

Common issues when connecting Nager.Date to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Nager.Date + LlamaIndex FAQ

Common questions about integrating Nager.Date MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Nager.Date tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Nager.Date to LlamaIndex

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.