# How to connect Smol Machines with ChatGPT

```json
{
  "title": "How to connect Smol Machines with ChatGPT",
  "toolkit": "Smol Machines",
  "toolkit_slug": "smol_machines",
  "framework": "ChatGPT",
  "framework_slug": "chatgpt",
  "url": "https://composio.dev/toolkits/smol_machines/framework/chatgpt",
  "markdown_url": "https://composio.dev/toolkits/smol_machines/framework/chatgpt.md",
  "updated_at": "2026-10-30T05:31:08.703Z"
}
```

## Introduction

### How to connect Smol Machines MCP with ChatGPT
[ChatGPT](https://chatgpt.com/) can take action across your apps and files, stay with a project for hours, and turn a goal into finished materials like sheets, slides, and docs, not just answers.
In this guide, I will explain the easiest and most secure way to connect your Smol Machines account to ChatGPT via Composio Connect, so it can create isolated machines, run bounded commands, transfer files, inspect usage, and manage machine state through natural language commands without ever putting your account credentials at risk.

## Also integrate Smol Machines with

- [Claude Cowork](https://composio.dev/toolkits/smol_machines/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/smol_machines/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/smol_machines/framework/atomic-agent)

## TL;DR

### Why use Composio over default connectors?
- Apps with read and write access. Default connectors mostly can read your data. Composio's Smol Machines integration lets ChatGPT take actions like creating drafts, sending updates, labeling records, and more.
- 1,500+ SaaS toolkits out of the box. Composio gives you instant access to a vast catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
- One MCP server for every app. Connect any of your applications on demand through a single endpoint, rather than juggling a separate server for each app.
- Smart, context-aware tool loading. Unlike traditional MCP servers that dump every available tool into the LLM context window, Composio searches for and loads only the tools relevant to the task at hand.
- Cross-app automation. Chain actions across multiple apps in a single run - fetch a thread, summarize it in Notion, and post highlights to Slack without leaving the conversation.

## Connect Smol Machines to ChatGPT

### Prerequisites
- A ChatGPT account. We will use the [ChatGPT desktop app](https://openai.com/chatgpt/download/), and the steps are the same on the web.
- Access to the Smol Machines workspace you want to connect.
- [Composio plugin](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=chatgpt&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fchatgpt).
Note: Composio connects through OAuth. You will be asked to sign in and approve specific permissions. Review the permission screen carefully if you are using a work account.
### Step-by-step: Connect Smol Machines to ChatGPT
### 1. Install the Composio plugin
Click the button. ChatGPT opens the Composio plugin page. Click Install plugin.
[Install in ChatGPT](https://chatgpt.com/plugins/plugin_asdk_app_6a58503580c08191b78cc5bdaf4eba6e)
You can also find it inside ChatGPT: go to Settings, open Plugins, search the marketplace for Composio, and click Install plugin.
### 2. Authenticate
After you install, ChatGPT asks you to authenticate with Composio. Log in and click Allow access to authorize ChatGPT to use your Composio account.
### 3. Start using Composio
That is it. Composio tools are now available in ChatGPT. Type @Composio followed by your request, for example @Composio find unread Smol Machines messages and summarize them, and it will run the actions you authorize. On first use it asks you to authorize Smol Machines.
### Option 2: Add Composio as an MCP server
If you cannot use the plugin marketplace, add Composio as a custom MCP server instead.
### 1. Open the MCP settings
In ChatGPT, go to Settings and open the Plugins section. Inside the Plugins page, click the MCP tab.
### 2. Add the server
Click Add server. In the Name field enter Composio, for Type select Streamable HTTP, and in the URL field paste the Composio MCP server URL:

```bash
https://connect.composio.dev/mcp
```

## What is the Smol Machines MCP server, and what's possible with it?

The Smol Machines MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Smol Machines account. It provides structured and secure access to isolated Smol Cloud machines, file transfer, bounded command execution, and account and usage information, so your agent can create, start, stop, inspect, and operate machines on your behalf.
- Machine lifecycle management: Have your agent create machines with defined resources, automatic stop and deletion settings, and network policies, then start, stop, or permanently delete them.
- Bounded command execution: Let the agent run foreground commands on a hosted machine for tasks such as setup, diagnostics, and controlled workloads.
- File transfer: Direct your agent to upload files to a machine or download files from it when moving code, data, or generated results.
- Machine inspection: Instruct your agent to list machines, filter them by labels, and check their configuration, lifecycle state, and readiness.
- Usage and account tracking: Have your agent review account limits, plan details, billing-period usage, and machine-level usage and costs.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SMOL_MACHINES_CREATE_MACHINE` | Create Machine | Create one bounded Smol Cloud machine in the stopped state with explicit resources, a finite auto-stop interval and deletion TTL, and an explicit outbound network policy. Published ports remain authenticated by default. The conservative blocked default denies egress and may prevent uncached image pulls; unrestricted networking and unauthenticated public ingress each require explicit opt-in. |
| `SMOL_MACHINES_DELETE_MACHINE` | Delete Machine | Permanently delete one Smol Cloud machine by its exact machine ID. This irreversible operation removes all machine-local storage, ends its storage billing, and requires explicit confirmation. Export important data before calling this tool. Do not automatically retry after an ambiguous failure. |
| `SMOL_MACHINES_DOWNLOAD_FILE` | Download File | Download and offload one file from an exact cloud machine. Downloads are limited to 10 MB by Composio policy, and the read resets the machine's auto-stop idle timer. |
| `SMOL_MACHINES_EXEC_COMMAND` | Execute Command | Run one bounded foreground argv command on an exact hosted Smol Cloud machine. Execution can auto-start billable compute and can modify or delete guest data. Output is text-only, streaming and background execution are disabled, and the action never retries automatically. |
| `SMOL_MACHINES_GET_ACCOUNT` | Get Account | Get the connected account's status, plan, effective machine limits, billing-period usage, and spend in integer micros. |
| `SMOL_MACHINES_GET_ACCOUNT_USAGE` | Get Account Usage | Get metered usage for the connected account's provider-defined period, keeping the requested and consumed metric windows distinct. |
| `SMOL_MACHINES_GET_MACHINE` | Get Machine | Get configuration, lifecycle state, and readiness for one cloud machine by its exact machine id, not by name. |
| `SMOL_MACHINES_GET_MACHINE_USAGE` | Get Machine Usage | Get billing-period usage and cost in integer micros for one exact machine ID. CPU and memory metering can lag by several minutes while a machine is running, so mid-life usage and cost are a lower bound until metering rolls up; stop and delete trigger a final sample. Deleted machine usage remains available for the provider-documented 30-day lookup period. |
| `SMOL_MACHINES_LIST_MACHINES` | List Machines | List cloud machines owned by the connected account, optionally requiring all supplied labels to match. |
| `SMOL_MACHINES_START_MACHINE` | Start Machine | Start one stopped cloud machine by exact machine ID. A detached start returns before readiness and requires polling GET_MACHINE until ready=true. |
| `SMOL_MACHINES_STOP_MACHINE` | Stop Machine | Stop compute for one cloud machine by exact id while preserving its filesystem. Stopping does not delete the machine: stored disk can continue billing and the machine can continue occupying a plan slot until deletion. |
| `SMOL_MACHINES_UPLOAD_FILE` | Upload File | Upload a file of at most 8,000,000 bytes to a safe relative guest path on one cloud machine identified by its exact machine ID. This can replace existing guest data and resets the machine's auto-stop idle timer. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

Once connected, ChatGPT can access the Smol Machines MCP server via Composio to run actions that you authorize, directly in your workspace.

## Complete Code

None listed.

## How to build Smol Machines MCP Agent with another framework

- [Claude Cowork](https://composio.dev/toolkits/smol_machines/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/smol_machines/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/smol_machines/framework/atomic-agent)

## Related Toolkits

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- [AWS Marketplace MCP](https://composio.dev/toolkits/aws_marketplace_mcp) - AWS Marketplace MCP provides MCP access to AWS Marketplace's cloud software, data, and services catalog. Use it to discover, compare, and evaluate 30K+ AWS Marketplace listings faster.
- [Azure Monitor Activity Log](https://composio.dev/toolkits/azure_monitor_activity_log) - Azure Monitor Activity Log is Azure's service that records management and control-plane events for a subscription. Use it to audit changes, troubleshoot issues, and track resource operations across your Azure resources.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Smol Machines MCP?

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

### Can I use Tool Router MCP with ChatGPT?

Yes, you can. ChatGPT 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 Smol Machines tools.

### Can I manage the permissions and scopes for Smol Machines while using Tool Router?

Yes, absolutely. You can configure which Smol Machines 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.

### How safe is my data with Composio Tool Router?

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 Smol Machines data and credentials are handled as safely as possible.

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