How to integrate Claid ai MCP with Claude Code

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Introduction

Manage your Claid ai directly from Claude Code with zero worries about OAuth hassles, API-breaking issues, or reliability and security concerns.

You can do this in two different ways:

  1. Via Rube - Direct and easiest approach
  2. Via Composio SDK - Programmatic approach with more control

Why Rube?

Rube is a universal MCP server with access to 850+ SaaS apps. It ensures just-in-time tool loading so Claude can access the tools it needs, a remote workbench for programmatic tool calling and handling large tool responses out of the LLM context window, ensuring the LLM context window remains clean.

Connect Claid ai to Claude Code with Rube

1. Get the MCP URL

Copy and paste the below command in Claude Code to add Rube MCP.

Terminal

2. Authenticate Rube

Run /mcp to view Rube

bash
/mcp
Run /mcp to view Rube in Claude Code
Click on Rube to authenticate
Authentication flow complete

3. Ensure it's connected

Run /mcp again to verify the connection. Now, do whatever you want with Claude Code and Claid ai.

Rube connected successfully

Supported Tools & Triggers

Tools
AI PhotoshootTool to transform product shots into model photoshoots.
Generate AI BackgroundsTool to generate AI backgrounds for a product image.
CLAID Background RemoveTool to remove the background from images.
Get Storage DetailsTool to retrieve details of a connected storage resource.
Connect New StorageTool to connect a storage resource.
Generative Resize ImageTool to adjust image aspect ratios via generative outpainting.
Image AI Edit AsyncTool to submit an asynchronous AI-based image editing task.
CLAID Image Edit BatchTool to process multiple images in batch.
Generate Images from TextTool to generate images from text prompts.
CLAID License Plate BlurTool to blur license plates in images to meet privacy requirements.
Update Connected StorageTool to update a connected storage's settings.
Polish ImageTool to remove AI artifacts via polish restoration.
CLAID Smart FrameTool to smart-frame images: resize and add free space around the subject.
List Connected StoragesTool to list connected storage resources.
List Storage TypesTool to retrieve available storage types.

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.

Connecting Claid ai via Tool Router

Tool Router is the underlying tech that powers Rube. It's a universal gateway that does everything Rube does but with much more programmatic control. You can programmatically generate an MCP URL with the app you need (here Claid ai) for even more tool search precision. It's secure and reliable.

How the Tool Router works

The Tool Router 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

Prerequisites

Before starting, make sure you have:
  • Claude Pro, Max, or API billing enabled Anthropic account
  • Composio API Key
  • A Claid ai account
  • Basic knowledge of Python or TypeScript

Install Claude Code

bash
# macOS, Linux, WSL
curl -fsSL https://claude.ai/install.sh | bash

# Windows PowerShell
irm https://claude.ai/install.ps1 | iex

# Windows CMD
curl -fsSL https://claude.ai/install.cmd -o install.cmd && install.cmd && del install.cmd

To install Claude Code, use one of the following methods based on your operating system:

Set up Claude Code

bash
cd your-project-folder
claude

Open a terminal, go to your project folder, and start Claude Code:

  • Claude Code will open in your terminal
  • Follow the prompts to sign in with your Anthropic account
  • Complete the authentication flow
  • Once authenticated, you can start using Claude Code
Claude Code initial setup showing sign-in prompt
Claude Code terminal after successful login

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here

Create a .env file in your project root with the following variables:

  • COMPOSIO_API_KEY authenticates with Composio (get it from Composio dashboard)
  • USER_ID identifies the user for session management (use any unique identifier)

Install Composio library

pip install composio-core python-dotenv

Install the Composio Python library to create MCP sessions.

  • composio-core provides the core Composio functionality
  • python-dotenv loads environment variables from your .env file

Generate Composio MCP URL

import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
USER_ID = os.getenv("USER_ID")

composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=USER_ID,
    toolkits=["claid_ai"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url

print(f"MCP URL: {COMPOSIO_MCP_URL}")
print(f"\nUse this command to add to Claude Code:")
print(f'claude mcp add --transport http claid_ai-composio "{COMPOSIO_MCP_URL}" --headers "X-API-Key:{COMPOSIO_API_KEY}"')

Create a script to generate a Composio MCP URL for Claid ai. This URL will be used to connect Claude Code to Claid ai.

What's happening:
  • We import the Composio client and load environment variables
  • Create a Composio instance with your API key
  • Call create() to create a Tool Router session for Claid ai
  • The returned mcp.url is the MCP server URL that Claude Code will use
  • The script prints this URL so you can copy it

Run the script and copy the MCP URL

python generate_mcp_url.py

Run your Python script to generate the MCP URL.

  • The script connects to Composio and creates a Tool Router session
  • It prints the MCP URL and the exact command you need to run
  • Copy the entire claude mcp add command from the output

Add Claid ai MCP to Claude Code

bash
claude mcp add --transport http claid_ai-composio "YOUR_MCP_URL_HERE" --headers "X-API-Key:YOUR_COMPOSIO_API_KEY"

# Then restart Claude Code
exit
claude

In your terminal, add the MCP server using the command from the previous step. The command format is:

  • claude mcp add registers a new MCP server with Claude Code
  • --transport http specifies that this is an HTTP-based MCP server
  • The server name (claid_ai-composio) is how you'll reference it
  • The URL points to your Composio Tool Router session
  • --headers includes your Composio API key for authentication

After running the command, close the current Claude Code session and start a new one for the changes to take effect.

Verify the installation

bash
claude mcp list

Check that your Claid ai MCP server is properly configured.

  • This command lists all MCP servers registered with Claude Code
  • You should see your claid_ai-composio entry in the list
  • This confirms that Claude Code can now access Claid ai tools

If everything is wired up, you should see your claid_ai-composio entry listed:

Claude Code MCP list showing the toolkit MCP server

Authenticate Claid ai

The first time you try to use Claid ai tools, you'll be prompted to authenticate.

  • Claude Code will detect that you need to authenticate with Claid ai
  • It will show you an authentication link
  • Open the link in your browser (or copy/paste it)
  • Complete the Claid ai authorization flow
  • Return to the terminal and start using Claid ai through Claude Code

Once authenticated, you can ask Claude Code to perform Claid ai operations in natural language. For example:

  • "Remove background from all product images"
  • "Generate lifestyle backgrounds for shoe photos"
  • "Blur license plates in uploaded car images"

Complete Code

Here's the complete code to get you started with Claid ai and Claude Code:

import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
USER_ID = os.getenv("USER_ID")

composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=USER_ID,
    toolkits=["claid_ai"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url

print(f"MCP URL: {COMPOSIO_MCP_URL}")
print(f"\nUse this command to add to Claude Code:")
print(f'claude mcp add --transport http claid_ai-composio "{COMPOSIO_MCP_URL}" --headers "X-API-Key:{COMPOSIO_API_KEY}"')

Conclusion

You've successfully integrated Claid ai with Claude Code using Composio's MCP server. Now you can interact with Claid ai directly from your terminal using natural language commands.

Key features of this setup:

  • Terminal-native experience without switching contexts
  • Natural language commands for Claid ai operations
  • Secure authentication through Composio's managed MCP
  • Tool Router for dynamic tool discovery and execution

Next steps:

  • Try asking Claude Code to perform various Claid ai operations
  • Add more toolkits to your Tool Router session for multi-app workflows
  • Integrate this setup into your development workflow for increased productivity

You can extend this by adding more toolkits, implementing custom workflows, or building automation scripts that leverage Claude Code's capabilities.

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FAQ

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 Code?

Yes, you can. Claude Code 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.

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