How to integrate Codemagic MCP with LangChain

This guide walks you through connecting Codemagic to LangChain using the Composio tool router. By the end, you'll have a working Codemagic agent that can trigger a new build for ios app, show recent build status for android app, download latest build artifact for project through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Codemagic account through Composio's Codemagic MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Codemagic is a CI/CD platform tailored for mobile app development. It streamlines automated builds, testing, and deployment for faster releases.

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Introduction

This guide walks you through connecting Codemagic to LangChain using the Composio tool router. By the end, you'll have a working Codemagic agent that can trigger a new build for ios app, show recent build status for android app, download latest build artifact for project through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a Codemagic account through Composio's Codemagic MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Codemagic with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Codemagic project to Composio
  • Create a Tool Router MCP session for Codemagic
  • Initialize an MCP client and retrieve Codemagic tools
  • Build a LangChain agent that can interact with Codemagic
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

What is the Codemagic MCP server, and what's possible with it?

The Codemagic MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Codemagic account. It provides structured and secure access so your agent can perform Codemagic operations on your behalf.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Codemagic functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Codemagic tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['codemagic']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Codemagic tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Codemagic tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "codemagic-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Codemagic MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Codemagic tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Codemagic related question or task to the agent.\n");

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Codemagic and LangChain:

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['codemagic']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "codemagic-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Codemagic related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with Codemagic through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
TOOLS

Supported Tools

Every Codemagic action and event your agent gets out of the box.

Add Application from Private Repository

Tool to create an application from a private repository using SSH key authentication.

Add New Application

Tool to add a Git repository to the applications list in Codemagic.

Get Meta Information

Tool to get metadata about Codemagic including public IP addresses in use (in CIDR notation).

Get Variable Group Information

Tool to retrieve information about a specific variable group including its name and configuration settings.

Update Variable Group

Tool to change a variable group's name and security settings.

Delete All Application Caches

Tool to delete all caches for a specific application.

Delete Specific Cache

Tool to delete a specific cache from an application.

Get Account Info for Over-the-Air Updates

Tool to retrieve account information for over-the-air updates.

Get All Builds

Tool to list all builds with optional filters for appId, workflowId, and branch.

Get API Key

Tool to retrieve the API key for the authenticated user.

Get Authenticated User

Tool to retrieve information about the currently authenticated user.

List Variable Groups for App

Tool to retrieve paginated list of variable groups for an application.

List Variables for Group

Tool to retrieve paginated list of variables for a specific variable group.

Invite Team Member

Tool to invite a new team member to a Codemagic team.

List Team Apps

Tool to list all apps for a specific team in Codemagic.

Receive Webhook

Tool to receive webhook payloads from Git providers to trigger builds automatically.

Remove Team Member

Tool to remove a collaborator from a Codemagic team.

Retrieve All Applications

Tool to retrieve all applications added to Codemagic.

Retrieve an Application

Tool to retrieve a single application by its unique identifier.

Retrieve Caches for Application

Tool to retrieve a list of caches for a specific application.

Start New Build

Tool to start a new build for an application with specified workflow and branch or tag.

Stop Preview

Tool to stop an app preview.

Update Variable in Group

Tool to update an existing variable within a specified variable group in Codemagic.

FRAMEWORKS

How to build Codemagic MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Codemagic MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Codemagic MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Codemagic MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Codemagic MCP with Claude Cowork

Codex logo

Codex

Use Codemagic MCP with Codex

OpenClaw logo

OpenClaw

Use Codemagic MCP with OpenClaw

Hermes logo

Hermes

Use Codemagic MCP with Hermes

CLI logo

CLI

Use Codemagic MCP with CLI

Google ADK logo

Google ADK

Use Codemagic MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Codemagic MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Codemagic MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Codemagic MCP with LlamaIndex

CrewAI logo

CrewAI

Use Codemagic MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Codemagic MCP server, the agents and LLMs can only access a fixed set of Codemagic tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Codemagic and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. LangChain fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Codemagic tools.

Yes, absolutely. You can configure which Codemagic scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Codemagic data and credentials are handled as safely as possible.

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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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