Nager.Date MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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 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.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
Data-first architecture: LlamaIndex agents combine Nager.Date tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Nager.Date tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Nager.Date, a vector store, and a SQL database in a single turn and synthesize results
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.
Hybrid search: combine Nager.Date real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Nager.Date to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Nager.Date for fresh data
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:
get_country_details
Get additional details for a specific country
get_next_holidays
Get the next public holidays for a specific country
get_next_holidays_worldwide
Get the next public holidays occurring worldwide
get_public_holidays
Get all public holidays for a country and year
is_holiday_today
Check if today is a public holiday in a country
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.
"What are the public holidays in 'US' for 2024 using Nager.Date?"
"Is today a public holiday in Brazil?"
"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.
BasicMCPClient not found
pip install llama-index-tools-mcpNager.Date + LlamaIndex FAQ
Common questions about integrating Nager.Date MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Nager.Date with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
