Integrations / OpenAI Codex

Set up banish for OpenAI Codex

banish runs as an MCP server. Register it in the Codex CLI and every command it runs through banish comes back compacted, so Codex spends far fewer tokens on verbose shell and tool output.

Prerequisites

banish installed. See install and confirm with banish version.
OpenAI Codex CLI, which supports MCP servers over stdio.

Register banish

Codex uses TOML, not JSON. Add banish with the CLI:

codex mcp add banish -- banish serve

Or add it by hand to ~/.codex/config.toml:

[mcp_servers.banish]
command = "banish"
args = ["serve"]

The table key is mcp_servers (TOML, snake case) - do not paste the JSON form used by other agents. If Codex cannot find banish on your PATH, use the absolute path from which banish as the command.

Verify

Start Codex and list its tools. banish exposes every verb in your extensions as an MCP tool - with the defaults you get 45-plus tools such as banish_gs, banish_dps, and banish_kpods. If they appear, banish is wired in.

What you get

Codex now reads compacted output through banish. See MCP server for how verbs become tools, the benchmarks for measured savings, and set up an agent for the general flow.

Other agents: Gemini CLI, Windsurf, Cline, GitHub Copilot.