Codex can connect directly to a remote Streamable HTTP MCP server. The ChatGPT desktop app, Codex CLI, and Codex IDE extension share MCP configuration on the same Codex host. See OpenAI’s current MCP documentation.
Desktop app or IDE
- Open Settings → MCP servers.
- Select Add server.
- Name it
SeatLayer Designer, choose Streamable HTTP, and paste the URL shown by SeatLayer. - Save and restart the app or extension.
- Select Authenticate and approve the intended workspace and chart.
- Use
/mcpto confirm that the server is connected.
CLI
Add the remote server to ~/.codex/config.toml or the trusted project’s
.codex/config.toml:
[mcp_servers.seatlayer_designer]
url = "YOUR_SEATLAYER_MCP_URL"
auth = "oauth"
default_tools_approval_mode = "writes"Then run codex mcp login seatlayer_designer to authenticate and
codex mcp list to verify it. OpenAI documents the current configuration keys
and CLI commands in its MCP guide.
Do not place a SeatLayer secret API key in a prompt or configuration file.
Verify safely
Start with a read and capability check:
Use the SeatLayer Designer connector.
Call get_capabilities first, state the authorized chart scope, and summarize
the current chart. Do not mutate, approve, or publish anything.Then follow the staged workflow in Designer MCP. Any write must use the current expected revision, and publish still requires a human-approved unchanged revision.