How to integrate Adafruit IO MCP with Claude Agent SDK

This guide walks you through connecting Adafruit IO to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Adafruit IO agent that can summarize temperature feed anomalies today, publish humidity reading to greenhouse feed, list recent door sensor events through natural language commands. This guide will help you understand how to give your Claude Agent SDK agent real control over a Adafruit IO account through Composio's Adafruit IO MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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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.

21 Tools

Introduction

This guide walks you through connecting Adafruit IO to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Adafruit IO agent that can summarize temperature feed anomalies today, publish humidity reading to greenhouse feed, list recent door sensor events through natural language commands.

This guide will help you understand how to give your Claude Agent SDK agent real control over a Adafruit IO account through Composio's Adafruit IO MCP server.

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

Also integrate Adafruit IO with

OpenAI Agents SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your Claude/Anthropic and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Adafruit IO
  • Configure an AI agent that can use Adafruit IO as a tool
  • Run a live chat session where you can ask the agent to perform Adafruit IO operations

What is Claude Agent SDK?

The Claude Agent SDK is Anthropic's official framework for building AI agents powered by Claude. It provides a streamlined interface for creating agents with MCP tool support and conversation management.

Key features include:

  • Native MCP Support: Built-in support for Model Context Protocol servers
  • Permission Modes: Control tool execution permissions
  • Streaming Responses: Real-time response streaming for interactive applications
  • Context Manager: Clean async context management for sessions

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 to your feeds, device data, groups, dashboards, and account status, so your agent can publish readings, review data, organize feeds, manage dashboards, and monitor usage on your behalf.

  • Feed creation and management: Have your agent create, review, update, or delete feeds used to store readings from your connected devices.
  • Device data publishing and review: Let the agent publish timestamped values, inspect recent feed data, and retrieve, correct, or remove specific readings.
  • Feed organization with groups: Direct your agent to create and update groups, add or remove feeds, and review how your device feeds are organized.
  • Dashboard management: Instruct your agent to create dashboards for feed data, review existing dashboards and their blocks, update dashboard details, or remove dashboards.
  • Account and usage monitoring: Have your agent check your Adafruit IO account identity, plan limits, and current data write usage before publishing more readings.

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and Claude/Anthropic API Key
  • Primary know-how of Claude Agents SDK
  • A Adafruit IO account
  • Some knowledge of Python
2

Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
  • Go to the Anthropic Console and create an API key. You'll need credits to use the models.
  • 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 @anthropic-ai/claude-agent-sdk @composio/core dotenv

Install the Composio SDK and the Claude Agents SDK.

What's happening:

  • @composio/core provides Composio integration for Anthropic
  • @anthropic-ai/claude-agent-sdk is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID identifies the user for session management
  • ANTHROPIC_API_KEY authenticates with Anthropic/Claude
5

Import dependencies

import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

dotenv.config();
What's happening:
  • We're importing all necessary libraries including the Claude Agent SDK and Composio
  • The dotenv.config() function loads environment variables from your .env file
  • This setup prepares the foundation for connecting Claude with Adafruit IO functionality
6

Create a Composio instance and Tool Router session

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });

  // Create Tool Router session for Adafruit IO
  const session = await composio.create(USER_ID, {
    toolkits: ['adafruit_io'],
  });
  const mcpUrl = session?.mcp.url;
What's happening:
  • The function checks for the required COMPOSIO_API_KEY environment variable
  • We're creating a Composio instance using our API key
  • The create method creates a Tool Router session for Adafruit IO
  • The returned url is the MCP server URL that your agent will use
7

Configure Claude Agent with MCP

const options: Options = {
  permissionMode: 'bypassPermissions',
  mcpServers: {
    composio: {
      type: 'http',
      url: mcpUrl,
      headers: { 'x-api-key': COMPOSIO_API_KEY }
    }
  },
  systemPrompt: 'You are a helpful assistant with access to Adafruit IO tools via Composio.',
  maxTurns: 10,
};
What's happening:
  • We're configuring the Claude Agent options with the MCP server URL
  • permissionMode: 'bypassPermissions' allows the agent to execute operations without asking for permission each time
  • The system prompt instructs the agent that it has access to Adafruit IO
  • maxTurns: 10 limits the conversation length to prevent excessive API usage
8

Create client and start chat loop

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

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}
What's happening:
  • The readline interface is created to handle user input and output
  • The query function is used to send the user's input to the agent
  • The chat loop continues until the user types 'exit' or 'quit'
9

Run the application

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
What's happening:
  • The chat function is the entry point for the application
  • The try-catch block is used to handle any errors that occur

Complete Code

Here's the complete code to get you started with Adafruit IO and Claude Agent SDK:

import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });
  const session = await composio.create(USER_ID, {
    toolkits: ['adafruit_io']
  });
  const mcp_url = session?.mcp.url;

  const options: Options = {
    permissionMode: 'bypassPermissions',
    mcpServers: {
      composio: {
        type: 'http',
        url: mcp_url,
        headers: { 'x-api-key': COMPOSIO_API_KEY }
      }
    },
    systemPrompt: 'You are a helpful assistant with access to Adafruit IO tools via Composio.',
    maxTurns: 10,
  };

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

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}

Conclusion

You've successfully built a Claude Agent SDK agent that can interact with Adafruit IO through Composio's Tool Router.

Key features:

  • Native MCP support through Claude's agent framework
  • Streaming responses for real-time interaction
  • Permission bypass for smooth automated workflows
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

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

Add Feeds to Group

Sequentially add 1-10 existing feeds to one group using one documented provider request per feed.

Create Dashboard

Create a dashboard for visualizing and controlling feed data.

Create Feed

Create a feed, optionally within an existing group.

Create Group

Create a group for organizing feeds.

Delete Dashboard

Permanently delete one dashboard by exact key.

Delete Data Point

Permanently delete one feed data point by ID.

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.

Delete Feed

Permanently delete one feed and its retained data by exact feed key.

Delete Group

Permanently delete one group by exact key.

Get Account Status

Return compact identity, plan limits, and current data-write throttle usage for the connected Adafruit IO account.

Get Dashboards

List dashboards, or retrieve one dashboard and its blocks by key.

Get Data Point

Retrieve one feed data point by its exact ID.

Get Feeds

List feeds, or retrieve one feed by key with optional data summary details.

Get Groups

List groups with feed summaries, or retrieve one group by key.

List Feed Data

Return one newest-first page of feed data with an opaque cursor for the next older page.

Publish Feed Data

Publish one or multiple timestamped values to a feed, using the batch endpoint only when multiple points are supplied.

Remove Feeds from Group

Sequentially remove 1-10 feeds from one group using one documented provider request per feed.

Update Dashboard

Update an existing dashboard by exact dashboard key.

Update Data Point

Replace the value and optional metadata of one existing feed data point.

Update Feed

Update an existing feed by exact feed key.

Update Group

Update an existing group by exact group key.

FRAMEWORKS

How to build Adafruit IO MCP Agent with another framework

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OpenAI Agents SDK

Use Adafruit IO MCP with OpenAI Agents SDK

Claude Code logo

Claude Code

Use Adafruit IO MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Adafruit IO MCP with Claude Cowork

Codex logo

Codex

Use Adafruit IO MCP with Codex

OpenClaw logo

OpenClaw

Use Adafruit IO MCP with OpenClaw

Hermes logo

Hermes

Use Adafruit IO MCP with Hermes

CLI logo

CLI

Use Adafruit IO MCP with CLI

Google ADK logo

Google ADK

Use Adafruit IO MCP with Google ADK

LangChain logo

LangChain

Use Adafruit IO MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Adafruit IO MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Adafruit IO MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Adafruit IO MCP with LlamaIndex

CrewAI logo

CrewAI

Use Adafruit IO MCP with CrewAI

FAQ

Frequently asked questions

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.

Yes, you can. Claude Agent SDK 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.

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.

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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