How to integrate Ai ml api MCP with Codex

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

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Api Key

Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.

30 Tools

Introduction

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

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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 1000+ 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 Ai ml api MCP in Codex

Run the setup command

Run this command in your terminal to add the Composio MCP server to Codex.

Terminal

It will initiate the authentication in a browser window, authorize Codex to access your Composio account.

Composio authentication page

(Optional) Authenticate with OAuth

To authenticate manually, run the login command to open a browser window and authorize Codex to access your Composio account.

bash
codex mcp login composio

Verify the connection

Run codex mcp list to confirm Composio appears as a registered MCP server.

bash
codex mcp list

Codex App

Codex App follows the same approach as VS Code.

  1. Click ⚙️ on the bottom left → MCP Servers → + Add servers → Streamable HTTP:
  2. Fill the header and Key fields with { "x-consumer-api-key" = "ck_*******" }.
  3. The Key is the Composio API key, that you can find on dashboard.composio.dev
  4. Click on Authenticate and authorize Codex to your Composio account and you're all set.
Codex App MCP setup
  1. Restart and verify if it's there in .codex/config.toml
bash
[mcp_servers.composio]
url = "https://connect.composio.dev/mcp"
http_headers = { "x-consumer-api-key" = "ck_*******" }

What is the Ai ml api MCP server, and what's possible with it?

The Ai ml api MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ai ml api account. It provides structured and secure access to powerful AI/ML models, so your agent can generate text, moderate user content, and automate intelligent workflows on your behalf.

  • Automated content moderation: Instantly classify and filter user-generated text or images using advanced moderation models to keep your platform safe and compliant.
  • Dynamic text generation: Have your agent generate chat responses, write creative copy, or complete conversations using state-of-the-art language models.
  • Context-aware conversation handling: Let your agent analyze conversation history and produce coherent, relevant replies for chatbots or digital assistants.
  • Seamless integration of AI workflows: Combine moderation and text generation tools to build smart, automated pipelines tailored to your product’s needs.

Conclusion

You've successfully integrated Ai ml api with Codex using Composio's MCP server. Now you can interact with Ai ml api 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 Ai ml api operations
  • Managed authentication through Composio
  • Access to 20,000+ tools across 1000+ apps for cross-app workflows
  • CodeAct workbench for complex tool chaining

Next steps:

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

Supported Tools

Every Ai ml api action and event your agent gets out of the box.

Cancel Run

Tool to cancel a run that is currently in progress.

Create Assistant

Tool to create an AI assistant with configurable model, instructions, and tools.

Create Message

Tool to create a new message in a thread.

Create Run

Tool to create a run that executes an assistant on a thread.

Create Thread

Tool to create a new thread for conversation with an assistant.

Delete Assistant

Tool to delete an assistant by ID.

Delete Message

Tool to delete a specific message from a thread.

Delete Thread

Tool to delete a thread by its ID.

Get Assistant

Tool to retrieve details of a specific assistant by ID.

Get Billing Balance

Tool to retrieve the current billing balance for the account.

Get Luma Generation

Tool to fetch Luma AI video generation results by generation IDs.

Get Message

Tool to retrieve information about a specific message by its ID.

Get Response by ID

Tool to retrieve a previously generated model response by its unique ID.

Get Run

Tool to retrieve a specific run by ID from a thread.

Get Run Step

Tool to retrieve a specific run step by its ID within a thread and run.

Get Thread

Tool to retrieve information about a specific thread by ID.

List Assistants

Tool to list all assistants associated with the account.

List Batches

Tool to get the status or results of a batch processing job.

List Luma AI Generations

Tool to fetch user's Luma AI video generations.

List Thread Messages

Tool to retrieve a list of messages from a specific thread.

List Models

Tool to list all available AI models from the AI/ML API.

List Models With Details

Tool to list all available AI/ML models with detailed information including pricing, features, and capabilities.

List Runs

Tool to list all runs for a specific thread.

List Run Steps

Tool to list the steps in a run.

Submit Tool Outputs

Tool to submit tool outputs for a run that requires action.

Text Chat Completion

Tool to generate text completions or chat responses using a specified LLM model.

Update Assistant

Tool to modify an existing assistant's properties including name, instructions, model, and tools.

Update Message

Tool to modify metadata for a specific message in a thread.

Update Run

Tool to update a run's metadata with key-value pairs.

Update Thread

Tool to update thread metadata and tool resources in the AI/ML API.

FAQ

Frequently asked questions

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

Yes, you can. Codex 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 Ai ml api tools.

Yes, absolutely. You can configure which Ai ml api 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 Ai ml api data and credentials are handled as safely as possible.

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