Nager.Date MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Nager.Date through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"nagerdate": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Nager.Date, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Nager.Date through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Nager.Date MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 6 tools from Nager.Date via MCP
Why Use LangChain with the Nager.Date MCP Server
LangChain provides unique advantages when paired with Nager.Date through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Nager.Date MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Nager.Date queries for multi-turn workflows
Nager.Date + LangChain Use Cases
Practical scenarios where LangChain combined with the Nager.Date MCP Server delivers measurable value.
RAG with live data: combine Nager.Date tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Nager.Date, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Nager.Date tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Nager.Date tool call, measure latency, and optimize your agent's performance
Nager.Date MCP Tools for LangChain (6)
These 6 tools become available when you connect Nager.Date to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Nager.Date to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNager.Date + LangChain FAQ
Common questions about integrating Nager.Date MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Nager.Date with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Microsoft's framework for multi-agent collaborative conversations.
Connect Nager.Date to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.