How do I get my Juhe AppKey?

Log in to the [Juhe Data](https://www.juhe.cn/) website, browse the API store, apply for the services you need (e.g., Weather, ID Card), and you will find the corresponding AppKey in your personal center under 'My APIs'.

Can I use one key for all tools?

Usually, Juhe Data assigns separate AppKeys for different API services. Ensure you provide the correct key for each service (Weather, ID Card, News, etc.) in the credentials section of this server.

Is this data only for mainland China?

Most Juhe services focus on mainland China (Weather, ID Card, Oil Prices). However, some services like IP Lookup and Exchange Rates provide global information.

Juhe Data / 聚合数据 MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Juhe Data / 聚合数据
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Juhe Data / 聚合数据 through Vinkius, pass the Edge URL in the `mcps` parameter and every Juhe Data / 聚合数据 tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Juhe Data / 聚合数据 Specialist",
    goal="Help users interact with Juhe Data / 聚合数据 effectively",
    backstory=(
        "You are an expert at leveraging Juhe Data / 聚合数据 tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Juhe Data / 聚合数据 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Juhe Data / 聚合数据 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Juhe Data / 聚合数据 tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Juhe Data / 聚合数据 MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Juhe Data / 聚合数据

Why Use CrewAI with the Juhe Data / 聚合数据 MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Juhe Data / 聚合数据 through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Juhe Data / 聚合数据 + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Juhe Data / 聚合数据 MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Juhe Data / 聚合数据 for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Juhe Data / 聚合数据, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Juhe Data / 聚合数据 tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Juhe Data / 聚合数据 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Juhe Data / 聚合数据 MCP Tools for CrewAI (10)

These 10 tools become available when you connect Juhe Data / 聚合数据 to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Juhe Data / 聚合数据 to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Juhe Data / 聚合数据 + CrewAI FAQ

Common questions about integrating Juhe Data / 聚合数据 MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.