How to Use the Chuanyun MCP in Google ADK
Feed Chuanyun ERP records directly into Google ADK to analyze workflows with Gemini's million-token context.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Chuanyun MCP to Google ADK
Create your Vinkius account to connect Chuanyun 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.
Analyze massive Chuanyun ERP datasets with Google ADK
Gemini's massive context window is perfect for digesting complex enterprise structures. By combining `list_biz_objects` and `get_form_schema`, your Google ADK agent pulls your entire Chuanyun schema and active records into a single reasoning step. This setup lets you run deep analysis on your operational bottlenecks without hitting context limits. The Google ADK agent can cross-reference active Chuanyun records against your BigQuery datasets to spot discrepancies instantly.
Automated workflow auditing on Google Cloud
You can track how long approvals take by letting your Google ADK agent query `get_workflow_history`. The agent extracts Chuanyun timestamps and transitions, mapping out bottlenecks in your business processes. Because the Google ADK runs natively on Google Cloud, you can automatically pipe these processed Chuanyun workflow histories directly into Vertex AI for predictive operational modeling.
Sync Google Cloud data using this MCP Server
Keeping your Chuanyun ERP updated with external cloud databases is simple. Your Google ADK agent reads incoming data streams and uses `create_biz_object` or `update_biz_object` to keep your records synchronized. If a Chuanyun record is no longer needed, the agent can call `delete_biz_object` to keep your database tidy. You control exactly which tools are exposed by filtering them in your Google ADK toolset configuration.
Set up Chuanyun 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 Chuanyun 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="Chuanyun_agent",
model="gemini-2.0-flash",
instruction="You have access to Chuanyun 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 Chuanyun. 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.
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Common questions about Chuanyun MCP in Google ADK
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