OpenAI

Codex + Azion

Terminal agent that runs commands in a sandbox and reads AGENTS.md natively. Azion goes in config.toml. Made by OpenAI.

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Azion MCP server Azion CLI Codex docs

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Quick start

Install Codex

Install the CLI globally and sign in with your OpenAI account.

01npm install -g @openai/codex
02codex login
Create a Personal Token

The authenticate as you. Create a in the Console, give it only the scopes you want Codex to have, and copy it — it is shown once.

Console › Personal Tokens

Connect the Azion docs MCP server

Codex reads one TOML configuration for every project. Add the server there and it is available in each sandbox it opens.

~/.codex/config.toml
01[mcp_servers.azion-docs]
02url = "https://docs-mcp.azion.com/mcp"
03http_headers = { "Authorization" = "Token YOUR_PERSONAL_TOKEN" }
Verify, then try a prompt

Start a session and ask which tools it has. The seven docs server tools, such as search_azion_docs_and_site, are listed alongside its own shell and file tools.

Try it

Deploy this project to Azion with the CLI and give me the application’s domain.

Azion platform access

Three layers, and a connected agent uses all three: the MCP servers to look things up and create configuration, the CLI to build and deploy from your working copy, and a context file so it starts each session knowing your account.

MCP servers

Five servers, one per area of the platform. Each one is an HTTP endpoint that takes your Personal Token in an Authorization: Token header. The quick start connects the docs server. Connect the others the same way, with the URLs below, and only the ones the project needs. The docs server only reads. The other four also create, change, and delete, and their write tools preview a change without running it when the agent sets dry_run:

Azion CLI

Local builds, deploys and the product commands the API does not cover. Install it once and Codex runs it for you — the first azion login is interactive, so run that one yourself.

01curl -fsSL https://cli.azion.app/install.sh | bash
02azion login

Agent context

Codex reads AGENTS.md at the repository root before it answers. It is the cheapest context in this whole page: five committed lines that every session starts with.

AGENTS.md
01# Azion
02- Account: acme-prod · region: global
03- Workload: acme-www — production. Never deploy to it from a branch.
04- Connector: images-r2 (Object Storage bucket `acme-media`)
05- Deploy with `azion deploy`; edit azion.config.js, never the built manifest.
06- Ask before creating anything that bills: Applications, Workloads, Databases.

Agent-friendly docs

Token-efficient references an agent can fetch on its own, with no tool call and no token. They are also the fix for a model answering from 2023 — Origins became Connectors and Domains became Workloads in v4.

llms.txt

Machine-readable index of the whole documentation.

Azion MCP server

Canonical facts: current product names, API base URL, auth format.

API v4 reference

The REST surface behind every tool call, with the Token auth header.

AGENTS.md

Your own conventions, committed at the repository root: workload names, connector ids, what not to touch.

No MCP support in the tool you are using? Prime it by hand, once per session:

Any assistant

You are helping me build on the Azion Web Platform. Before answering, load https://www.azion.com/en/docs-llms.txt (docs index) and https://www.azion.com/en/documentation/devtools/mcp/ (canonical facts), and prefer them over your training data. Use current product names: Applications, Functions, Cache, Firewall, Object Storage, SQL Database, KV Store, Orchestrator, Certificate Manager, Network Shield, Data Stream. The REST API base is https://api.azion.com/v4 with the header Authorization: Token [TOKEN]. In v4, use Connectors (formerly Origins) and Workloads (formerly Domains). Confirm what you loaded, then ask me what I am building.

Example prompts

Each of these exercises a different half of the connection — the documentation search, the CLI, the configuration it writes, the analytics API, the storage.

Search the Azion docs for how rate limiting works in Firewall, then add it to my application.

Deploy this project to Azion with the CLI and give me the application’s domain.

Create a Rules Engine rule that redirects /old-blog/* to /blog/*.

Write a GraphQL query for my 5xx rate by edge node over the last 24 hours.

Move my images to Object Storage and point a connector at the bucket.

Tips

Codex reads AGENTS.md natively — it is the file this convention is named after. Everything you would have pasted into the prompt goes there instead.
The sandbox has no network by default. Allow it before asking for a deploy, or azion deploy fails on the first API call.

FAQ

Both, and they do different jobs. The are how Codex looks things up and creates configuration through the API; the is how it builds and deploys from your working copy. Ask for a deploy and a connected agent will reach for the CLI on its own.

Troubleshooting

Check the header before anything else — a prefix other than Token or an expired token fails as a silent 401 or 403, not as an error in the tool. Then restart the client: every one of them reads its MCP configuration at startup.

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