How to integrate Gan ai MCP with Codex

Codex is one of the most popular coding harnesses out there. And MCP makes the experience even better. With Gan ai MCP integration, you can draft, triage, summarise emails, and much more, all without leaving the terminal or app, whichever you prefer.

Composio removes the Authentication handling completely from you. We handle the entire integration lifecycle, and all you need to do is just copy the URL below, authenticate inside Codex, and start using it.

Why use Composio?

Apart from a managed and hosted MCP server, you will get:

• CodeAct: A dedicated workbench that allows GPT to write its code to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling.
• Large tool responses: Handle them to minimise context rot.
• Dynamic just-in-time access to 20,000 tools across 870+ other Apps for cross-app workflows. It loads the tools you need, so GPTs aren't overwhelmed by tools you don't need.

How to install Gan ai MCP in Codex

Codex CLI

Run the command in your terminal.

This will auto-redirect you to the Rube authentication page.

Once you're authenticated, you will be able to access the tools.

Verify the installation by running:

codex mcp list

If you otherwise prefer to use config.toml, add the following URL to it. You can get the bearer token from rube.app → Use Rube → MCP URL → Generate token

[projects."/home/user/composio"]
trust_level = "untrusted"

[mcp_servers.rube]
bearer_token_env_var = "your bearer token"
enabled = true
url = "https://rube.app/mcp"

Codex in VS Code

If you have installed Codex in VS Code.

Then: ⚙️ → MCP Settings → + Add servers → Streamable HTTP:

Add the Rube MCP URL: https://rube.app/mcp and the bearer token.

To verify, click on the Open config.toml

Make sure it's there:

[mcp_servers.composio_rube]
bearer_token_env_var = "your bearer token"
enabled = true
url = "https://rube.app/mcp"

Codex App

Codex App follows the same approach as VS Code.

1. Click ⚙️ on the bottom left → MCP Servers → + Add servers → Streamable HTTP:

2. Restart and verify if it's there in .codex/config.toml

[mcp_servers.composio_rube]
bearer_token_env_var = "your bearer token"
enabled = true
url = "https://rube.app/mcp"

3. Save, restart the extension, and start working.

The Gan 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 Gan ai account. It provides structured and secure access to powerful text-to-speech, voice cloning, and video personalization APIs, so your agent can generate lifelike audio, manage avatars, retrieve video inferences, and personalize multimedia content on your behalf.

• Instant text-to-speech synthesis: Easily convert any text into natural, expressive speech using customizable voice settings selected by your agent.
• Avatar and voice management: Let your agent list, select, and manage photo avatars or voice profiles for personalized content creation or video generation.
• Automated video and avatar inference retrieval: Fetch the status, metadata, and download links for both avatar and photo video inferences generated by Gan ai, all through the agent.
• Detailed avatar and inference insights: Retrieve in-depth details on specific avatars or inference tasks, such as processing status, associated media, and metadata for further automation.
• Secure authentication and session handling: The agent can seamlessly handle login and token management, ensuring secure, authorized access to all Gan ai API features without manual credential passing.

Conclusion

You've successfully integrated Gan ai with Codex using Composio's Rube MCP server. Now you can interact with Gan ai directly from your terminal, VS Code, or the Codex App using natural language commands.

Key benefits of this setup:

• Seamless integration across CLI, VS Code, and standalone app
• Natural language commands for Gan ai operations
• Managed authentication through Composio's Rube
• Access to 20,000+ tools across 870+ apps for cross-app workflows
• CodeAct workbench for complex tool chaining

Next steps:

• Try asking Codex to perform various Gan ai operations
• Explore cross-app workflows by connecting more toolkits
• Build automation scripts that leverage Codex's AI capabilities