Juhe Data / 聚合数据 MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Juhe Data / 聚合数据 as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="juhe_data_agent",
instruction=(
"You help users interact with Juhe Data / 聚合数据 "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Juhe Data / 聚合数据 as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the Juhe Data / 聚合数据 MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from Juhe Data / 聚合数据 via MCP
Why Use Google ADK with the Juhe Data / 聚合数据 MCP Server
Google ADK provides unique advantages when paired with Juhe Data / 聚合数据 through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Juhe Data / 聚合数据
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Juhe Data / 聚合数据 tools with BigQuery, Vertex AI, and Cloud Functions
Juhe Data / 聚合数据 + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Juhe Data / 聚合数据 MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Juhe Data / 聚合数据 and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Juhe Data / 聚合数据 tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Juhe Data / 聚合数据 regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Juhe Data / 聚合数据
Juhe Data / 聚合数据 MCP Tools for Google ADK (10)
These 10 tools become available when you connect Juhe Data / 聚合数据 to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Juhe Data / 聚合数据 to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkJuhe Data / 聚合数据 + Google ADK FAQ
Common questions about integrating Juhe Data / 聚合数据 MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Juhe Data / 聚合数据 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
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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 Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
