# How to integrate Claid ai MCP with Claude Agent SDK

```json
{
  "title": "How to integrate Claid ai MCP with Claude Agent SDK",
  "toolkit": "Claid ai",
  "toolkit_slug": "claid_ai",
  "framework": "Claude Agent SDK",
  "framework_slug": "claude-agents-sdk",
  "url": "https://composio.dev/toolkits/claid_ai/framework/claude-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/claid_ai/framework/claude-agents-sdk.md",
  "updated_at": "2026-05-12T10:06:17.693Z"
}
```

## Introduction

This guide walks you through connecting Claid ai to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Claid ai agent that can remove background from all product images, generate lifestyle backgrounds for shoe photos, blur license plates in uploaded car images through natural language commands.
This guide will help you understand how to give your Claude Agent SDK agent real control over a Claid ai account through Composio's Claid ai MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Claid ai with

- [OpenAI Agents SDK](https://composio.dev/toolkits/claid_ai/framework/open-ai-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/claid_ai/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/claid_ai/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/claid_ai/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/claid_ai/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/claid_ai/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/claid_ai/framework/cli)
- [Google ADK](https://composio.dev/toolkits/claid_ai/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/claid_ai/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/claid_ai/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/claid_ai/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/claid_ai/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/claid_ai/framework/crew-ai)

## 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 Claid ai
- Configure an AI agent that can use Claid ai as a tool
- Run a live chat session where you can ask the agent to perform Claid ai 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 Claid ai MCP server, and what's possible with it?

The Claid ai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Claid ai account. It provides structured and secure access to powerful AI image editing features, so your agent can perform actions like removing backgrounds, generating AI photoshoots, upscaling, and editing images in bulk on your behalf.
- AI-powered background removal: Instantly have your agent isolate subjects from any image by removing backgrounds with a single command.
- Automated product photoshoots: Let your agent transform plain product images into professional model photoshoots, complete with realistic AI-generated backgrounds.
- Batch and async image editing: Direct your agent to process multiple images at once or submit complex, text-driven edits for asynchronous processing—perfect for large workflows.
- Generative resizing and enhancement: Ask your agent to resize images using outpainting or upscale and enhance visuals to meet any platform’s requirements.
- Privacy and compliance automation: Have your agent blur license plates in images or apply other privacy-preserving edits before sharing or publishing assets.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CLAID_AI_BACKGROUND_GENERATE` | Generate AI Backgrounds | Generate AI-powered backgrounds for product images. Creates professional scenes with customizable backgrounds, lighting, and composition. Use cases: - E-commerce product photography enhancement - Creating lifestyle scenes for product marketing - Generating consistent backgrounds across product catalogs - Adding realistic shadows and reflections Supports three generation modes: 1. Prompt-based: Describe the background in text (e.g., "minimalist white studio") 2. Template-based: Use a reference image to guide the style 3. Shadow/effect mode: Add shadows to transparent product images Returns temporary URLs (valid 24 hours) or saves to connected storage. |
| `CLAID_AI_BACKGROUND_REMOVE` | CLAID Background Remove | Remove the background from images using Claid.ai's AI-powered background removal. Supports category hints (general, products, cars) for optimized removal, selective removal to keep specific objects, and optional clipping to crop to subject bounds. Returns a temporary URL to download the processed image with transparent or colored background. |
| `CLAID_AI_CLAID_STORAGE_DETAILS` | Get Storage Details | Tool to retrieve details of a connected storage resource. Use when you have a storage ID and need to inspect its configuration before performing further operations. |
| `CLAID_AI_CREATE_STORAGE` | Connect New Storage | Tool to connect a storage resource. Use after you have bucket/folder details and credentials. E.g., to add a new AWS S3, GCS bucket, or public web folder for your image assets. |
| `CLAID_AI_GENERATIVE_RESIZE` | Generative Resize (Outpaint) | Expand image canvas using AI-powered generative outpainting. This tool adjusts image aspect ratios by generating coherent background content to fill new canvas areas. Use it when you need to: - Change image aspect ratio for different platforms (e.g., square to landscape) - Extend an image's borders while maintaining visual consistency - Create zoom-out effects by expanding the scene in all directions The AI generates photorealistic content that matches the original image's style, lighting, and composition. Maximum output size is 16.78 MP. |
| `CLAID_AI_IMAGE_AI_EDIT` | Image AI Edit Async | Tool to submit an asynchronous AI-based image editing task. Use when you need text-driven edits on existing images and will poll for completion. |
| `CLAID_AI_IMAGE_EDIT_BATCH` | CLAID Image Edit Batch | Tool to process multiple images in batch asynchronously. Use when applying the same edits (resize, enhance, background removal, etc.) to many images at once. Accepts input from: - Cloud storage folders (with optional recursive processing) - Lists of public image URLs - Single public image URL Returns a batch job ID and result_url to poll for completion status and processed images. Requires billing capabilities on the Claid.ai account. |
| `CLAID_AI_IMAGE_GENERATE` | Generate AI Images from Text Prompt | Generate AI images from text prompts using Claid.ai. Creates 1024x1024 pixel images. Use when you need to create custom visuals, product mockups, or creative imagery from a description. Supports generating 1-4 images per request. Returns temporary URLs (valid 24h) or saves to connected cloud storage. |
| `CLAID_AI_LICENSE_PLATE_BLUR` | CLAID License Plate Blur | Automatically detect and blur license plates in images for privacy compliance. Use this tool when you need to obscure vehicle registration plates in photos (e.g., for car marketplaces, real estate listings, or street photography). The AI automatically identifies and blurs all license plates in the image. |
| `CLAID_AI_PATCH_STORAGE` | Update Connected Storage | Tool to update a connected storage's settings. Use when you need to change name, type, or parameters of an existing storage. Use after confirming the storage exists. |
| `CLAID_AI_POLISH_IMAGE` | Polish Image | Applies AI-powered polish restoration to an image, sharpening and cleaning up while preserving the original structure. Ideal for enhancing upscaled images or removing AI artifacts. Note: Target image must not exceed 16 MP (megapixels). |
| `CLAID_AI_SMART_FRAME` | CLAID Smart Frame | Place images on a canvas with specified dimensions and padding for consistent product photography framing. Ideal for e-commerce: standardizes product photos with uniform spacing and background colors. Use this when you need to add white space or colored borders around product images for marketplace listings. |
| `CLAID_AI_STORAGE_LIST` | List Connected Storages | Tool to list connected storage resources. Use when you need to retrieve all storage connectors for your account. |
| `CLAID_AI_STORAGE_TYPES` | List Storage Types | Tool to retrieve available storage types. Use when you need to list supported storage connectors before uploading files. |

## Supported Triggers

None listed.

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

The Claid ai MCP server is an implementation of the Model Context Protocol that connects your AI agent to Claid ai. It provides structured and secure access so your agent can perform Claid ai operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

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

### 1. Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
- Go to the [Anthropic Console](https://console.anthropic.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-anthropic claude-agent-sdk python-dotenv
```

```typescript
npm install @anthropic-ai/claude-agent-sdk @composio/core dotenv
```

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here
```

### 4. Import dependencies

No description provided.
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()
```

```typescript
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();
```

### 5. Create a Composio instance and Tool Router session

No description provided.
```python
async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Claid ai
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["claid_ai"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")
```

```typescript
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 Claid ai
  const session = await composio.create(USER_ID, {
    toolkits: ['claid_ai'],
  });
  const mcpUrl = session?.mcp.url;
```

### 6. Configure Claude Agent with MCP

No description provided.
```python
# Configure remote MCP server for Claude
options = ClaudeAgentOptions(
    permission_mode="bypassPermissions",
    mcp_servers={
        "composio": {
            "type": "http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    },
    system_prompt="You are a helpful assistant with access to Claid ai tools via Composio.",
    max_turns=10
)
```

```typescript
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 Claid ai tools via Composio.',
  maxTurns: 10,
};
```

### 7. Create client and start chat loop

No description provided.
```python
# Create client with context manager
async with ClaudeSDKClient(options=options) as client:
    print("\nChat started. Type 'exit' or 'quit' to end.\n")

    # Main chat loop
    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit"}:
            print("Goodbye!")
            break

        # Send query
        await client.query(user_input)

        # Receive and print response
        print("Claude: ", end="", flush=True)
        async for message in client.receive_response():
            if hasattr(message, "content"):
                for block in message.content:
                    if hasattr(block, "text"):
                        print(block.text, end="", flush=True)
        print()
```

```typescript
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?');
}
```

### 8. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(chat_with_remote_mcp())
```

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

## Complete Code

```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()

async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Claid ai
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["claid_ai"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")

    # Configure remote MCP server for Claude
    options = ClaudeAgentOptions(
        permission_mode="bypassPermissions",
        mcp_servers={
            "composio": {
                "type": "http",
                "url": url,
                "headers": {
                    "x-api-key": os.getenv("COMPOSIO_API_KEY")
                }
            }
        },
        system_prompt="You are a helpful assistant with access to Claid ai tools via Composio.",
        max_turns=10
    )

    # Create client with context manager
    async with ClaudeSDKClient(options=options) as client:
        print("\nChat started. Type 'exit' or 'quit' to end.\n")

        # Main chat loop
        while True:
            user_input = input("You: ").strip()
            if user_input.lower() in {"exit", "quit"}:
                print("Goodbye!")
                break

            # Send query
            await client.query(user_input)

            # Receive and print response
            print("Claude: ", end="", flush=True)
            async for message in client.receive_response():
                if hasattr(message, "content"):
                    for block in message.content:
                        if hasattr(block, "text"):
                            print(block.text, end="", flush=True)
            print()

if __name__ == "__main__":
    asyncio.run(chat_with_remote_mcp())
```

```typescript
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: ['claid_ai']
  });
  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 Claid ai 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 Claid ai 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.

## How to build Claid ai MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/claid_ai/framework/open-ai-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/claid_ai/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/claid_ai/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/claid_ai/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/claid_ai/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/claid_ai/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/claid_ai/framework/cli)
- [Google ADK](https://composio.dev/toolkits/claid_ai/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/claid_ai/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/claid_ai/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/claid_ai/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/claid_ai/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/claid_ai/framework/crew-ai)

## Related Toolkits

- [Figma](https://composio.dev/toolkits/figma) - Figma is a collaborative interface design tool for teams and individuals. It streamlines design workflows with real-time collaboration and easy sharing.
- [Abyssale](https://composio.dev/toolkits/abyssale) - Abyssale is a creative automation platform for generating images, videos, GIFs, PDFs, and HTML5 content programmatically. It streamlines and scales visual content production for marketing, design, and operations teams.
- [Alttext ai](https://composio.dev/toolkits/alttext_ai) - AltText.ai is a service that generates alt text for images automatically. It helps boost accessibility and SEO for your visual content.
- [Bannerbear](https://composio.dev/toolkits/bannerbear) - Bannerbear is an API-driven platform for generating images and videos automatically at scale. It helps businesses create custom graphics, social visuals, and marketing assets using powerful templates.
- [Canva](https://composio.dev/toolkits/canva) - Canva is a drag-and-drop design suite for creating professional graphics, presentations, and marketing materials. It makes it easy for anyone to design with beautiful templates and a vast library of elements.
- [Cloudinary](https://composio.dev/toolkits/cloudinary) - Cloudinary is a cloud-based platform for managing, uploading, and transforming images and videos. It streamlines media workflows and delivers optimized assets globally.
- [Cults](https://composio.dev/toolkits/cults) - Cults is a digital marketplace for 3D printing models, connecting designers and makers. It lets creators share, sell, and discover a huge variety of printable designs easily.
- [DeepImage](https://composio.dev/toolkits/deepimage) - DeepImage is an AI-powered image enhancer and upscaler. Get higher-quality images with just a few clicks.
- [Dreamstudio](https://composio.dev/toolkits/dreamstudio) - DreamStudio is Stability AI’s platform for generating and editing images with AI. It lets you easily turn ideas into stunning visuals, fast.
- [Dynapictures](https://composio.dev/toolkits/dynapictures) - Dynapictures is a cloud-based platform for generating personalized images at scale. Instantly create hundreds of custom visuals using your data sources, like Google Sheets.
- [Fal.ai](https://composio.dev/toolkits/fal_ai) - Fal.ai is a generative media platform offering 600+ AI models for images, video, voice, and audio. Developers use Fal.ai for fast, scalable access to cutting-edge generative AI tools.
- [Gamma](https://composio.dev/toolkits/gamma) - Gamma is an AI-powered platform for making beautiful, interactive presentations and documents. It lets anyone create and share engaging decks with minimal effort.
- [Html to image](https://composio.dev/toolkits/html_to_image) - Html to image converts HTML and CSS into images or captures web page screenshots. Instantly generate visuals from code or web content—no manual screenshots needed.
- [Imagior](https://composio.dev/toolkits/imagior) - Imagior is an AI-powered image generation platform that lets you create and customize images using dynamic templates and APIs. Perfect for businesses and creators needing fast, scalable visuals without design hassle.
- [Imejis io](https://composio.dev/toolkits/imejis_io) - Imejis io is an API-based image generation platform with powerful customization and template support. It lets you create and modify images in seconds, no manual design work required.
- [Imgix](https://composio.dev/toolkits/imgix) - Imgix is a real-time image processing and delivery service for developers. It helps you optimize, transform, and deliver images efficiently at any scale.
- [Kraken io](https://composio.dev/toolkits/kraken_io) - Kraken.io is an image optimization and compression platform. It helps you shrink image file sizes while keeping visual quality intact.
- [Logo dev](https://composio.dev/toolkits/logo_dev) - Logo.dev is an API and database for high-resolution company logos and brand metadata. Instantly fetch official logos from any domain without scraping or manual searching.
- [Miro](https://composio.dev/toolkits/miro) - Miro is a collaborative online whiteboard platform for teams to brainstorm, design, and manage projects visually. It streamlines teamwork by enabling real-time idea sharing, diagramming, and workflow planning in a single space.
- [Mural](https://composio.dev/toolkits/mural) - Mural is a digital whiteboard platform for distributed visual collaboration. It helps teams brainstorm, map ideas, and diagram together in real time.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Claid ai MCP?

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

### Can I use Tool Router MCP with Claude Agent SDK?

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 Claid ai tools.

### Can I manage the permissions and scopes for Claid ai while using Tool Router?

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

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