# Adafruit IO

```json
{
  "name": "Adafruit IO",
  "slug": "adafruit_io",
  "url": "https://composio.dev/toolkits/adafruit_io",
  "markdown_url": "https://composio.dev/toolkits/adafruit_io.md",
  "logo_url": "https://logos.composio.dev/api/adafruit_io",
  "categories": [
    "data & analytics"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-13T07:34:50.217Z"
}
```

![Adafruit IO logo](https://logos.composio.dev/api/adafruit_io)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Adafruit IO MCP or direct API to read device feeds, publish sensor values, monitor dashboards, and trigger IoT workflows through natural language.

## Summary

Adafruit IO is Adafruit's cloud platform for connected device and IoT project data.
It helps you store, visualize, and act on sensor feeds without running your own backend.

## Categories

- data & analytics

## Toolkit Details

- Tools: 21

## Images

- Logo: https://logos.composio.dev/api/adafruit_io

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Adafruit IO.
  - Setup:
    - Configure Api Key credentials for Adafruit IO.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Summarize temperature feed anomalies today
- Publish humidity reading to greenhouse feed
- List recent door sensor events

## 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.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Adafruit IO Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Adafruit IO actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'List recent door sensor events from my Adafruit IO feed'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'List recent door sensor events from my Adafruit IO feed'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for Adafruit IO
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Adafruit IO tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Publish humidity reading 62 to my greenhouse feed in Adafruit IO')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Publish humidity reading 62 to my greenhouse feed in Adafruit IO'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Adafruit IO Integration

- Supports both Adafruit IO MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Adafruit IO feeds and device data

### 2. Managed Auth

- Securely stores Adafruit IO API keys so you don't hard-code credentials in agents
- Central place to manage, scope, and revoke Adafruit IO access
- Per user and per environment credentials for safer IoT automations

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what feed was read or updated, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Adafruit IO
- Scoped, least privilege access to Adafruit IO feeds, dashboards, and device data
- Full audit trail of agent actions to support review and compliance

## Use Adafruit IO with any AI Agent Framework

Choose a framework you want to connect Adafruit IO with:

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

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## Frequently Asked Questions

### Do I need my own developer credentials to use Adafruit IO with Composio?

Yes, Adafruit IO requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)