How to integrate Modelry MCP with Codex

Codex is one of the most popular coding harnesses out there. And MCP makes the experience even better. With Modelry 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

Modelry is a platform for building, deploying, and managing machine learning models. It streamlines the end-to-end ML lifecycle so teams can ship models faster and more reliably.

14 Tools

Introduction

Codex is one of the most popular coding harnesses out there. And MCP makes the experience even better. With Modelry 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 Modelry 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 Modelry MCP server, and what's possible with it?

The Modelry MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Modelry account. It provides structured and secure access to your machine learning model management, so your agent can perform actions like listing modeling requests, creating workspaces, retrieving embed details, and managing products on your behalf.

  • Workspace management: Easily create new workspaces or fetch details about existing ones to keep your projects organized and separated.
  • Embed and product operations: List all available embeds, get detailed information, or delete embeds and products as needed for smooth deployment and maintenance.
  • Repository handling: Retrieve details of product repositories or remove repositories you no longer need—all with structured agent commands.
  • Modeling request tracking: Quickly list all 3D modeling requests tied to your account to monitor progress and manage workflows efficiently.
  • Secure automated actions: Let your agent handle repetitive or administrative model management tasks securely, saving you time and effort.

Conclusion

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

Supported Tools

Every Modelry action and event your agent gets out of the box.

Create Workspace

Create a new workspace or return an existing one with the same name.

Delete Modelry Embed

Tool to delete an embed.

Delete Modelry Product

Permanently deletes a product from Modelry by its ID.

Delete Product Repository

Permanently delete a product repository from Modelry.

Delete Modelry Workspace

Permanently deletes a Modelry workspace.

Get Embed

Retrieve details of a specific Modelry embed (3D viewer or AR experience for eCommerce).

Get Workspace

Retrieves details for a specific Modelry workspace by its ID or name.

List Embeds

List embeds in Modelry.

List Modeling Requests

List all 3D modeling requests in a workspace.

List Product Repositories

Tool to list all product repositories in a workspace.

List Modelry Products

List all products in Modelry.

List Modelry Workspaces

Tool to list all workspaces in Modelry.

Order Modeling Service

Tool to place an order for 3D modeling services.

Track Modeling Progress

Tool to track the progress of a 3D modeling request.

FAQ

Frequently asked questions

With a standalone Modelry MCP server, the agents and LLMs can only access a fixed set of Modelry tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Modelry 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 Modelry tools.

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

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