# How to connect Adafruit IO MCP with ChatGPT Work

```json
{
  "title": "How to connect Adafruit IO MCP with ChatGPT Work",
  "toolkit": "Adafruit IO",
  "toolkit_slug": "adafruit_io",
  "framework": "ChatGPT Work",
  "framework_slug": "chatgpt",
  "url": "https://composio.dev/toolkits/adafruit_io/framework/chatgpt",
  "markdown_url": "https://composio.dev/toolkits/adafruit_io/framework/chatgpt.md",
  "updated_at": "2026-08-13T07:34:50.217Z"
}
```

## Introduction

### How to connect Adafruit IO MCP with ChatGPT Work
[ChatGPT Work](https://openai.com/chatgpt-work/) is an agent inside ChatGPT built for your most ambitious work. It takes action across your apps and files, stays with a project for hours, and turns 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 Adafruit IO account to ChatGPT Work via Composio Connect, so it can summarize temperature feed anomalies today, publish humidity reading to greenhouse feed, list recent door sensor events through natural language commands without ever putting your account credentials at risk.

## Also integrate Adafruit IO with

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

## TL;DR

### Why use Composio over default connectors?
- Apps with read and write access. Default connectors mostly can read your data. Composio's Adafruit IO integration lets ChatGPT Work take actions like creating drafts, sending updates, labeling records, and more.
- 1,000+ 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 Adafruit IO to ChatGPT Work

### Prerequisites
- A ChatGPT account with access to ChatGPT Work (rolling out across Pro, Enterprise, Edu, Plus, and Business plans). We will use the [ChatGPT desktop app](https://openai.com/chatgpt/download/), which is available on every plan.
- Access to the Adafruit IO workspace you want to connect.
- [Composio MCP](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 Adafruit IO to ChatGPT Work
### 1. Open the MCP settings
In ChatGPT Work, 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 Adafruit IO MCP server, and what's possible with it?

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

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ADAFRUIT_IO_ADD_FEEDS_TO_GROUP` | Add Feeds to Group | Sequentially add 1-10 existing feeds to one group using one documented provider request per feed. This is non-atomic: processing stops after the first failed or ambiguous attempt, while earlier successes remain applied and are returned with the last confirmed normalized group state. |
| `ADAFRUIT_IO_CREATE_DASHBOARD` | Create Dashboard | Create a dashboard for visualizing and controlling feed data. |
| `ADAFRUIT_IO_CREATE_FEED` | Create Feed | Create a feed, optionally within an existing group. |
| `ADAFRUIT_IO_CREATE_GROUP` | Create Group | Create a group for organizing feeds. |
| `ADAFRUIT_IO_DELETE_DASHBOARD` | Delete Dashboard | Permanently delete one dashboard by exact key. |
| `ADAFRUIT_IO_DELETE_DATA_POINT` | Delete Data Point | Permanently delete one feed data point by ID. |
| `ADAFRUIT_IO_DELETE_DATA_POINTS` | Delete Data Points | Permanently delete 1-30 feed data points sequentially through Adafruit IO's single-data-point DELETE endpoint, bounded by the Free-plan limit of 30 data mutations per minute. This operation is not atomic: each ID has an independent outcome, and successful earlier deletions are not rolled back. Processing may continue after an independent malformed-ID or not-found response, but stops after authentication, permission, rate-limit, server, unexpected, or ambiguous transport failures; remaining IDs are marked not_attempted. |
| `ADAFRUIT_IO_DELETE_FEED` | Delete Feed | Permanently delete one feed and its retained data by exact feed key. |
| `ADAFRUIT_IO_DELETE_GROUP` | Delete Group | Permanently delete one group by exact key. |
| `ADAFRUIT_IO_GET_ACCOUNT_STATUS` | Get Account Status | Return compact identity, plan limits, and current data-write throttle usage for the connected Adafruit IO account. |
| `ADAFRUIT_IO_GET_DASHBOARDS` | Get Dashboards | List dashboards, or retrieve one dashboard and its blocks by key. |
| `ADAFRUIT_IO_GET_DATA_POINT` | Get Data Point | Retrieve one feed data point by its exact ID. |
| `ADAFRUIT_IO_GET_FEEDS` | Get Feeds | List feeds, or retrieve one feed by key with optional data summary details. |
| `ADAFRUIT_IO_GET_GROUPS` | Get Groups | List groups with feed summaries, or retrieve one group by key. |
| `ADAFRUIT_IO_LIST_FEED_DATA` | List Feed Data | Return one newest-first page of feed data with an opaque cursor for the next older page. |
| `ADAFRUIT_IO_PUBLISH_FEED_DATA` | Publish Feed Data | Publish one or multiple timestamped values to a feed, using the batch endpoint only when multiple points are supplied. |
| `ADAFRUIT_IO_REMOVE_FEEDS_FROM_GROUP` | Remove Feeds from Group | Sequentially remove 1-10 feeds from one group using one documented provider request per feed. This is non-atomic: processing stops after the first failed or ambiguous attempt, while earlier successes remain applied and are returned with the last confirmed normalized group state. |
| `ADAFRUIT_IO_UPDATE_DASHBOARD` | Update Dashboard | Update an existing dashboard by exact dashboard key. |
| `ADAFRUIT_IO_UPDATE_DATA_POINT` | Update Data Point | Replace the value and optional metadata of one existing feed data point. |
| `ADAFRUIT_IO_UPDATE_FEED` | Update Feed | Update an existing feed by exact feed key. |
| `ADAFRUIT_IO_UPDATE_GROUP` | Update Group | Update an existing group by exact group key. |

## Supported Triggers

None listed.

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

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

## Complete Code

None listed.

## How to build Adafruit IO MCP Agent with another framework

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

## Related Toolkits

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- [Agentql](https://composio.dev/toolkits/agentql) - Agentql is a toolkit that connects AI agents to the web using a specialized query language. It enables structured web interaction and data extraction for smarter automations.
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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Adafruit IO MCP?

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

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

Yes, you can. ChatGPT Work 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 Adafruit IO tools.

### Can I manage the permissions and scopes for Adafruit IO while using Tool Router?

Yes, absolutely. You can configure which Adafruit IO 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 Adafruit IO data and credentials are handled as safely as possible.

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