How to Use the Codemagic MCP in LangChain

Q: Can Codemagic trigger builds based on LangChain logic?

Yes. Your agent uses the startbuild tool to initiate pipelines whenever your specific logic conditions are met.

Chain your mobile CI/CD tasks directly in LangChain agents. Trigger builds and handle artifacts without leaving your reasoning pipeline.

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Connect Codemagic MCP to LangChain

Create your Vinkius account to connect Codemagic to LangChain 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 LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate mobile builds in LangChain chains

Trigger your mobile pipelines directly from your agentic workflow. Use `start_build` to kick off specific workflows based on your code analysis. This MCP Server lets your agent make decisions based on real build status. You can chain these actions to create autonomous release processes.

Manage your build environment variables

Inject dynamic configuration into your pipeline using `add_variables_to_group`. Your agent updates credentials or flags on the fly. This removes the need for manual UI toggling. Your chain executes the update and immediately triggers the next step in your release cycle.

Streamline artifact retrieval in LangChain

Fetch binaries or public links for your mobile team using `get_artifact` or `create_public_artifact_url`. Your agent handles the handoff to QA. This keeps your workflow stateful. The output of the artifact tool flows directly into your next reporting step without human intervention.

Setup guide

Set up Codemagic MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Codemagic tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "codemagic-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Codemagic transactions"
    })
    print(result["messages"][-1].content)

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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 Codemagic. 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 Codemagic MCP in LangChain

Install the MCP adapters and point your client to the server endpoint. You then fetch the tools and pass them into your agent's execution environment.

Yes. Your agent uses the `start_build` tool to initiate pipelines whenever your specific logic conditions are met.

The server remains stateless, but you can manage persistent context using the client's session handler. This keeps your build history intact across different chain steps.

Your agent receives the error status directly. You can then use `cancel_build` or trigger an alert to handle the failure.

All communication happens over secure, ephemeral connections. We only process build metadata and artifact links, never your source code or raw signing keys.

Use it with your favorite AI tools

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