How to Use the Holiday API MCP in LangChain
Build logistics and payroll chains that actually understand global holidays. This is the Holiday API for LangChain.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Holiday API MCP to LangChain
Create your Vinkius account to connect Holiday API to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Chain Holiday Lookups into Date Calculations
Stop guessing at delivery dates. This MCP Server gives your LangChain agent tools to build real-world logistics timelines. Start by checking for blackout dates with `get_holidays`, then use `get_workdays_count` to calculate the exact number of business days available between two points in time. Don't just get a number — get a date. The output from one tool feeds directly into the next. Once you know the workday count, you can use `get_next_workday` to pinpoint the final delivery or payroll date. It's a simple, observable chain that respects local calendars.
Build Globally-Aware LangChain Agents
Your agent needs to know its own limits. Before you even try to calculate a date, use `list_supported_countries` to confirm the API covers the region you're targeting. This prevents your chain from failing unexpectedly on an unsupported country code. Then, use `list_supported_languages` to fetch holiday names in the local language. You can build chains that not only calculate dates correctly but also report their findings in a way that local teams can understand. No extra translation steps needed.
Calculate Project Timelines, Not Just Dates
This isn't just for shipping. Use the same tools to build project management agents. Your LangChain agent can take a start date and a required number of 'effort-days', then use `get_next_workday` to calculate a realistic completion date, automatically skipping weekends and public holidays. This makes resource planning straightforward. You feed the agent a country and a timespan, and it returns a work calendar. It's a practical way to connect your agent's reasoning to the real-world flow of time.
Set up Holiday API MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes Holiday API tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"holiday-api-mcp": {
"transport": "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,
)
result = await agent.ainvoke({
"messages": "List recent Holiday API transactions"
})
print(result["messages"][-1].content) 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 LangChain
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