Juhe Data / 聚合数据 MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Juhe Data / 聚合数据 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
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({
"juhe-data": {
"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 Juhe Data / 聚合数据, 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 Juhe Data / 聚合数据 MCP Server
Empower your AI agent to access a vast array of essential data services with Juhe Data (聚合数据), the premier API aggregator in China. By connecting Juhe to your agent, you transform fragmented data retrieval into a natural conversation. Your agent can instantly check real-time weather and forecasts for any Chinese city, verify ID card registration details, lookup IP address locations, and retrieve the latest news across multiple categories. Whether you are automating background checks, monitoring local conditions, or staying updated with domestic trends, your agent acts as a real-time data intelligence assistant, providing accurate and reliable information from a single, unified source.
LangChain's ecosystem of 500+ components combines seamlessly with Juhe Data / 聚合数据 through native MCP adapters. Connect 10 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
- Weather Intelligence — Retrieve real-time weather and 3-day forecasts for cities across China.
- Identity Verification — Audit ID card numbers to retrieve area, sex, and birthday information.
- Geographical Insights — Lookup IP address locations to identify user regions and network providers.
- Content Aggregation — Retrieve the latest news headlines and articles across various categories.
- Calendar & Culture — Access lunar calendar data, holiday schedules, and even constellation horoscopes.
The Juhe Data / 聚合数据 MCP Server exposes 10 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 Juhe Data / 聚合数据 to LangChain via MCP
Follow these steps to integrate the Juhe Data / 聚合数据 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 10 tools from Juhe Data / 聚合数据 via MCP
Why Use LangChain with the Juhe Data / 聚合数据 MCP Server
LangChain provides unique advantages when paired with Juhe Data / 聚合数据 through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Juhe Data / 聚合数据 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 Juhe Data / 聚合数据 queries for multi-turn workflows
Juhe Data / 聚合数据 + LangChain Use Cases
Practical scenarios where LangChain combined with the Juhe Data / 聚合数据 MCP Server delivers measurable value.
RAG with live data: combine Juhe Data / 聚合数据 tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Juhe Data / 聚合数据, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Juhe Data / 聚合数据 tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Juhe Data / 聚合数据 tool call, measure latency, and optimize your agent's performance
Juhe Data / 聚合数据 MCP Tools for LangChain (10)
These 10 tools become available when you connect Juhe Data / 聚合数据 to LangChain via MCP:
get_calendar_day
Get calendar and holiday info for a day
get_calendar_month
Get holiday info for a month
get_constellation_horoscope
Get constellation horoscope
get_driving_test_questions
Get random driving test questions
get_exchange_rate
Get currency exchange rate
get_id_card_info
Get ID card basic information
get_ip_lookup
Lookup IP address location
get_latest_news
Get latest news headlines
get_oil_price
Get latest oil prices in China
get_weather
Get weather information for a city
Example Prompts for Juhe Data / 聚合数据 in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Juhe Data / 聚合数据 immediately.
"What's the weather in Beijing today?"
"Check the information for ID card 110101199001011234."
"Show me the latest tech news from Juhe."
Troubleshooting Juhe Data / 聚合数据 MCP Server with LangChain
Common issues when connecting Juhe Data / 聚合数据 to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersJuhe Data / 聚合数据 + LangChain FAQ
Common questions about integrating Juhe Data / 聚合数据 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 Juhe Data / 聚合数据 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 Juhe Data / 聚合数据 to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.