How to Use the Jiguang Aurora / 极光 MCP in Google ADK
Connect Jiguang Aurora push messaging to your Google ADK agent pipelines for enterprise-grade notification control.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Jiguang Aurora / 极光 MCP to Google ADK
Create your Vinkius account to connect Jiguang Aurora / 极光 to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Targeted messaging via Google ADK
Execute `send_push` calls to reach your user base based on specific device segments. You define the logic within your agent, and the tool executes the notification delivery. Validate your target audience with `get_device_info` before you send. This ensures your agent only interacts with valid, active registrations.
Coordinate notification schedules
Set up recurring or one-time pushes using `create_schedule`. Your agent manages these tasks, allowing you to sequence your communication flow effectively. Keep your schedule list lean by using `delete_schedule` to remove outdated tasks. This keeps your messaging pipeline focused on relevant, upcoming events.
Report on user activity
Pull data from `get_user_report` to understand how your audience interacts with your app. Your agent can use this data to refine future push campaigns. Use `get_push_report` to verify the reach of every campaign you run. The data is piped directly into your agent's context for immediate analysis.
Set up Jiguang Aurora / 极光 MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Jiguang Aurora / 极光 tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Jiguang Aurora / 极光_agent",
model="gemini-2.0-flash",
instruction="You have access to Jiguang Aurora / 极光 tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jiguang Aurora / 极光. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Jiguang Aurora / 极光 MCP in Google ADK
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