How to Use the YepCode MCP in Google ADK

Q: How does YepCode help with enterprise data flow using Google ADK?

The agent can execute code via runprocess, and the resulting structured data is designed to integrate directly into BigQuery. This means your agents act on existing, reliable data sources without needing complex ETL steps.

Q: Can I check process history when using YepCode with the Google ADK?

Yep. The listexecutions tool lets you pull a complete history of job runs into your agent's context, which is perfect for auditing and feeding data back to Vertex AI.

Q: Is there built-in support for managing process dependencies with YepCode and Google ADK?

Yes. By using listprocesses, the agent validates all available integrations before deployment, making sure that every resource it needs to run is correctly defined within your cloud environment.

Q: Does the Google ADK handle secrets securely when connecting to YepCode?

It does. The listsecrets tool allows secure access to account credentials. This mechanism ensures that sensitive parameters are retrieved and used only within the scope of a validated process run.

Act on BigQuery Data: Trigger YepCode processes and manage enterprise workflows with the Google ADK.

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Connect YepCode MCP to Google ADK

Create your Vinkius account to connect YepCode 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.

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Setup YepCode with Google ADK

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Execute Cloud Automations

Your agent triggers complex logic using `run_process` to execute serverless snippets defined in YepCode. Because you're building on Google Cloud, this process output feeds directly into your BigQuery schema for analysis. If the job requires context about its own lifecycle, it can check the status via `get_process_details`, giving immediate operational visibility.

Audit and Trace Process History

Need to know what ran before? The agent uses `list_executions` to pull a full record of past job runs. This is essential for compliance and verifying data integrity across your enterprise systems. It also helps list all available processes via `list_processes`, ensuring the agent only attempts to run integrations that are currently defined.

Manage Credentials and Teams

The agent maintains secure access by listing account secrets using `list_secrets`. This ensures that sensitive parameters needed for process execution are handled correctly. Furthermore, the tool provides `list_teams`, which is vital when your cloud resources require role-based access control to run specific jobs.

Setup guide

Set up YepCode MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(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 YepCode tools in your ADK agent.

agent.py

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="YepCode_agent",
    model="gemini-2.0-flash",
    instruction="You have access to YepCode tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by YepCode. 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 YepCode MCP in Google ADK

The agent can execute code via `run_process`, and the resulting structured data is designed to integrate directly into BigQuery. This means your agents act on existing, reliable data sources without needing complex ETL steps.

Yep. The `list_executions` tool lets you pull a complete history of job runs into your agent's context, which is perfect for auditing and feeding data back to Vertex AI.

Yes. By using `list_processes`, the agent validates all available integrations before deployment, making sure that every resource it needs to run is correctly defined within your cloud environment.

It does. The `list_secrets` tool allows secure access to account credentials. This mechanism ensures that sensitive parameters are retrieved and used only within the scope of a validated process run.

This server manages confidential account secrets, which are stored as strings and accessed via `list_secrets`. The agent treats this protected data type with extreme care during all process calls.

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