Juhe Data / 聚合数据 MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Juhe Data / 聚合数据 as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="juhe_data_agent",
tools=tools,
system_message=(
"You help users with Juhe Data / 聚合数据. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Juhe Data / 聚合数据 tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Juhe Data / 聚合数据 MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Juhe Data / 聚合数据 automatically
Why Use AutoGen with the Juhe Data / 聚合数据 MCP Server
AutoGen provides unique advantages when paired with Juhe Data / 聚合数据 through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Juhe Data / 聚合数据 tools to solve complex tasks
Role-based architecture lets you assign Juhe Data / 聚合数据 tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Juhe Data / 聚合数据 tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Juhe Data / 聚合数据 tool responses in an isolated environment
Juhe Data / 聚合数据 + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Juhe Data / 聚合数据 MCP Server delivers measurable value.
Collaborative analysis: one agent queries Juhe Data / 聚合数据 while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Juhe Data / 聚合数据, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Juhe Data / 聚合数据 data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Juhe Data / 聚合数据 responses in a sandboxed execution environment
Juhe Data / 聚合数据 MCP Tools for AutoGen (10)
These 10 tools become available when you connect Juhe Data / 聚合数据 to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Juhe Data / 聚合数据 to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Juhe Data / 聚合数据 + AutoGen FAQ
Common questions about integrating Juhe Data / 聚合数据 MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Juhe Data / 聚合数据 with your favorite client
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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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.