How to integrate Sendbird ai chabot MCP with Codex

Codex is one of the most popular coding harnesses out there. And MCP makes the experience even better. With Sendbird ai chabot 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 Sendbird ai chabot 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 Sendbird ai chabot MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Sendbird ai chabot account. It provides structured and secure access to your Sendbird bots and channels, so your agent can create bots, manage webhooks, update bot profiles, and fetch group channel details seamlessly on your behalf.

• Bot creation and management: Easily instruct your agent to create new AI or default bots, update their profiles, or fetch detailed bot information as needed.
• Automated webhook management: Let your agent register, update, or remove webhook URLs for bots, ensuring seamless event-driven integrations and real-time notifications.
• Group channel discovery: Ask your agent to list available group channels in your Sendbird application, complete with filtering and pagination support for targeted results.
• Bot information retrieval: Have your agent fetch comprehensive details about any bot by its user ID, helping you monitor and audit bot activity at a glance.
• Bot privacy and feature updates: Direct your agent to toggle privacy settings or adjust read-receipt and webhook configurations, keeping your bots up to date with business needs.

Conclusion

You've successfully integrated Sendbird ai chabot with Codex using Composio's Rube MCP server. Now you can interact with Sendbird ai chabot 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 Sendbird ai chabot 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 Sendbird ai chabot operations
• Explore cross-app workflows by connecting more toolkits
• Build automation scripts that leverage Codex's AI capabilities