How to Use the Juhe Data / 聚合数据 MCP in LangChain

Q: How does the calendar tool handle Chinese holidays?

The getcalendarmonth tool returns official Chinese holiday schedules, which often shift weekend workdays. This raw data goes straight into your agent's context, allowing your scheduling chains to calculate actual business days accurately.

Feed real-time Chinese market data, weather, and identity checks directly into your LangChain MCP reasoning loops.

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Connect Juhe Data / 聚合数据 MCP to LangChain

Create your Vinkius account to connect Juhe Data / 聚合数据 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.

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Setup Juhe Data / 聚合数据 with LangChain

Ask AI about this MCP

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Claude

Perplexity

Build multi-step LangChain chains with Chinese market data

The `get_exchange_rate` tool fetches real-time currency conversion rates directly into your LangChain ReAct agents. This means your agent can fetch a price in USD, convert it to CNY, and pass the result to the next node in your graph without hardcoding the conversion logic. The MCP server returns raw, structured JSON back from the API. LangSmith traces every step of this transaction, showing you the exact latency and token usage of the tool call so you can optimize your chain's execution speed.

Verify user identities inside agent workflows

The `get_id_card_info` tool extracts registration details from Chinese national ID numbers to verify user inputs instantly. Your LangChain agent runs this check during onboarding, passing the output straight to your database or flagging anomalies for manual review. By combining this with `get_ip_lookup`, your agent verifies if a user's declared location matches their network origin. This double-check runs in a single session, keeping your verification pipeline tight and fast.

Fetch localized environmental and news data on demand

The `get_weather` tool retrieves current forecasts and conditions for any Chinese city to feed localized context into your agent. If your agent needs to schedule logistics or deliveries, it pairs this weather data with the current date using `get_calendar_day` to make decisions. You can also pull current events using `get_latest_news` to filter content or check local updates. Because LangChain supports over 500 integrations, you can instantly write these outputs to a vector database or external CRM.

Setup guide

Set up Juhe Data / 聚合数据 MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
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 LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "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 Juhe Data / 聚合数据 tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "juhe-data-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 Juhe Data / 聚合数据 transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Juhe Data / 聚合数据. 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 Juhe Data / 聚合数据 MCP in LangChain

You configure rate limits directly in your LangChain agent's execution loop. Since Vinkius manages the MCP server hosting, we route your requests through a single endpoint token, but you should still implement retry logic in your RunnableConfig to handle downstream API limits.

Yes, every tool call is fully observable. When your LangChain agent calls `get_oil_price` or `get_weather`, LangSmith records the exact payload, latency, and token cost. This makes debugging faulty API responses simple.

No, you only need one token. Vinkius handles the underlying authentication for all ten tools, so your LangChain MCP client connects to a single endpoint to access everything from calendar data to exchange rates.

The `get_calendar_month` tool returns official Chinese holiday schedules, which often shift weekend workdays. This raw data goes straight into your agent's context, allowing your scheduling chains to calculate actual business days accurately.

Your queries containing Chinese ID card numbers and IP addresses are processed in an ephemeral V8 Isolate Sandbox. Vinkius operates under a zero-trust model, meaning we never log or store the payloads sent to `get_id_card_info` or `get_ip_lookup` during transit.

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