How to Use the Codemagic MCP in Google ADK

Q: Can Google ADK agents trigger Codemagic builds?

They can. By calling startbuild, your agent initiates a pipeline run with your custom parameters. This is useful for automated staging deployments.

Q: Does Google ADK work with Codemagic artifact URLs?

Yes. You can use createpublicartifacturl to generate accessible links for your builds. This allows your agent to share results with stakeholders.

Connect your Google ADK agent to Codemagic to manage mobile pipelines and artifact distribution.

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Connect Codemagic MCP to Google ADK

Create your Vinkius account to connect Codemagic 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 Codemagic with Google ADK

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Native build control for Google ADK

Use `start_build` to initiate mobile pipelines directly from your agent. It bypasses standard webhooks to give you surgical control over your release process. This works well when your agent needs to react to external triggers or data shifts. You define the branch and workflow parameters in your call.

Retrieve mobile artifacts using Google ADK

The `get_artifact` tool pulls metadata and authenticated download paths for your latest mobile builds. It connects your agent to the binary output of your pipeline. You can then pass these links to other processes or store them for later review. It makes artifact management a background task.

Manage build variables via Google ADK

Updating environment variables is simple with `add_variables_to_group`. Your agent can push new keys to Codemagic to adapt to changing deployment requirements. This ensures your CI/CD configuration stays current. It removes the need for manual dashboard intervention during your release cycle.

Setup guide

Set up Codemagic 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 Codemagic 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="Codemagic_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Codemagic tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Codemagic MCP in Google ADK

Use the McpToolset class to define the server endpoint. Inject this into your LlmAgent to start executing tools within your Google Cloud environment.

They can. By calling `start_build`, your agent initiates a pipeline run with your custom parameters. This is useful for automated staging deployments.

Use environment variables to store your API token. Your agent will use this token to authenticate requests to the Codemagic API securely.

Yes. You can use `create_public_artifact_url` to generate accessible links for your builds. This allows your agent to share results with stakeholders.

Access is restricted to the specific API calls you define in your tools. Your agent only sees the metadata you explicitly request through the MCP server interface.

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