How to Use the Codemagic MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK cancel a Codemagic build?

Yes. When a build goes off the rails, your agent can call cancelbuild to stop the process immediately. This saves your build minutes and keeps your queue clear.

Q: Does OpenAI Agents SDK support Codemagic variable management?

It does. You can use the addvariablestogroup tool to inject environment variables into your groups. This allows for programmatic control over your build environment.

Trigger mobile builds and manage environment variables directly within your OpenAI Agents SDK workflow.

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Connect Codemagic MCP to OpenAI Agents SDK

Create your Vinkius account to connect Codemagic to OpenAI Agents SDK 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 OpenAI Agents SDK

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Automate CI/CD triggers with OpenAI Agents SDK

Stop manual pipeline management. Your agent executes `start_build` to kick off specific workflows based on your project requirements. It overrides branch and trigger settings on the fly. You gain control over build execution without leaving your agent context.

Secure artifact handling in OpenAI Agents SDK

Get direct access to build outputs using `get_artifact`. The agent retrieves the necessary metadata to track your mobile binaries. Need to share a build for QA? Use `create_public_artifact_url` to generate a temporary link. It's built for rapid feedback loops.

Dynamic environment updates for OpenAI Agents SDK

Keep your secrets managed through code. The `add_variables_to_group` tool lets your agent push credentials or configuration updates into your Codemagic environment. This keeps your CI/CD setup synced with your latest development needs. It removes the friction of manual dashboard updates.

Setup guide

Set up Codemagic MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Codemagic tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Codemagic tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Codemagic tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Codemagic Agent",
            instructions="You have access to Codemagic tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Codemagic MCP in OpenAI Agents SDK

Install the required packages and initialize the server via the HTTP stream. Pass the server instance to your agent constructor to enable automatic tool discovery.

Yes. When a build goes off the rails, your agent can call `cancel_build` to stop the process immediately. This saves your build minutes and keeps your queue clear.

It does. You can use the `add_variables_to_group` tool to inject environment variables into your groups. This allows for programmatic control over your build environment.

Your build logs and artifact URLs stay within the Codemagic infrastructure. The MCP server acts as a secure bridge, and your agent only interacts with the specific endpoints you authorize.

If a request fails, the server returns standard error codes. You should implement basic try-except blocks in your agent logic to handle API timeouts or invalid build IDs.

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