plungeai-in-codex

Connect OpenAI Codex CLI to PlungeAI (Ocean Studio) over MCP — native streamable-HTTP in ~/.codex/config.toml (env-var or static bearer token), the codex mcp add terminal command, the mcp-remote bridge fallback, and a plungeai_whoami + plungeai_list_agents verify. Use when the user is in Codex CLI (or asks about ChatGPT + PlungeAI) and says connect / install / set up PlungeAI, mentions config.toml or mcp_servers, or plungeai_* tools never appear. ChatGPT web has no PlungeAI connector yet (OAuth pending) — Codex CLI is the OpenAI-ecosystem door. For another editor use its plungeai-in-<tool> skill; for an unlisted but MCP-capable client use plungeai-mcp-setup's generic client config.

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Codex CLI talks to PlungeAI over the Streamable HTTP MCP server at https://mcp.plungeai.com/v1. One ozk_ bearer key authenticates it (and the One API, if generated code calls PlungeAI directly). This is also the OpenAI-ecosystem door today: ChatGPT web connectors require OAuth (PlungeAI OAuth in progress), so ChatGPT users connect through Codex CLI instead.

Prerequisites

An ozk_ key: Dashboard → One API → Keys (https://dashboard.plungeai.com (opens in a new tab)) — self-service, shown once, copy it now.

Connect (once) — native streamable HTTP (primary)

Codex supports remote streamable-HTTP servers natively. In ~/.codex/config.toml (user-level TOML — the right home for anything key-related):

[mcp_servers.plungeai]
url = "https://mcp.plungeai.com/v1"
bearer_token_env_var = "PLUNGEAI_API_KEY"

Export PLUNGEAI_API_KEY in the shell profile; the config file itself never holds the key, so this pattern is safe even if the file is shared. A static header works too — user-level file only, never committed:

http_headers = { Authorization = "Bearer ozk_YOUR_KEY" }

Or from the terminal:

codex mcp add plungeai --url https://mcp.plungeai.com/v1 --bearer-token-env-var PLUNGEAI_API_KEY
codex mcp list

Fallback — mcp-remote bridge (only if the build lacks native `url`)

[mcp_servers.plungeai]
command = "npx"
args = ["-y", "mcp-remote", "https://mcp.plungeai.com/v1",
        "--header", "Authorization: Bearer ozk_YOUR_KEY"]
startup_timeout_sec = 30

startup_timeout_sec defaults to 10 s — an npx cold start can exceed it, and then the tools "never appear" with no useful error; set 30. If the bridge 401s, the client is mangling spaces inside args — switch to the native form above rather than fighting the quoting.

Verify

codex mcp list shows plungeai (or /mcp in the TUI shows it connected).
Ask Codex: "use plungeai_whoami to confirm my identity" → an identity card.
"use plungeai_list_agents to search 'web search'" → live results from the active agent catalog.

Quirks

config.toml is TOML, not JSON — no braces or trailing commas; the table header is exactly [mcp_servers.plungeai] (underscore, not dash).
tool_timeout_sec defaults to 60 s — long CNL workflows should run in async mode (plungeai_execute_workflow with mode: "async" + plungeai_get_workflow_status) rather than one long synchronous call.
/mcp inside the Codex TUI shows active MCP servers and their status; codex mcp get plungeai / codex mcp remove plungeai manage the entry.
Codex approval modes gate tool calls; in full-auto the money-verb PlungeAI operations still pause with a structured needs_approval outcome — relay it, then plungeai_continue.
enabled = false disables the server without deleting the entry.
ChatGPT web: no PlungeAI connector yet — OAuth is in progress. Point ChatGPT users at Codex CLI in the meantime.

What the agent should know (One API 2.3.0)

The plungeai_* tools operate PlungeAI from chat; the block below is for the code the agent writes against https://api.plungeai.com. This skill already carries it. To make it always-on for a project, paste it into AGENTS.md — that file is committed, so never put the key in it. The minimal saved-workflow body (workflow: / tasks: YAML) is in plungeai-api-setup.

PlungeAI One API 2.3.0. Base URL https://api.plungeai.com. Spec: GET /v1/openapi.json (no auth) - never invent a route.
AUTH: Authorization: Bearer ozk_YOUR_KEY on every call; key in an env var, server side only. When a connector attaches auth, NEVER add your own Authorization header.
ME: GET /v1/whoami -> {user_id, via, tier, key_label}. GET /v1/key -> {data:{label, limit, usage, rate_limit}}.
FIND (never from memory): GET /v1/discovery/search?q=<capability>&kind=agents -> {cards} (without kind, skill cards come first). POST /v1/discovery/resolve {task}. GET /v1/agents. GET /v1/tools. GET /v1/tools/{id} = the contract.
DOOR 1, one agent or tool: POST /v1/agents/{id}/execute {prompt|input, sync?, model?} -> 200 {content, workflow_id, task_id, request_id}.
  POST /v1/tools/{id}/execute {operation, params} -> {ok, content, outcome}; 422 invalid_params echoes the contract.
DOOR 2, saved workflow or bot: POST /v1/workflows/{id}/execute {input?, inputs?} -> {success, workflow_id, final_task_id, request_id, content}, synchronous.
  POST /v1/workflows/{id}/execute-stream = SSE. Inline YAML: POST /v1/workflows/execute. No content? GET /v1/workflows/results/{workflowId}/{taskId} (taskId = final_task_id).
DOOR 3, Agent Call: POST /v1/execute, the body is the program: {agent:"<saved id>[@n]", input} or {workflow:{...}} or {tasks:[...]}. dry_run:true plans without running;
  on_behalf_of:"<customer id>" uses that customer's connections.
ASYNC: POST /v1/agents/{id}/execute {sync:false} -> 202 {workflow_id, task_id, request_id}; redeem GET /v1/agents/results/{workflowId}/{taskId} -> {content}; 404 not_ready = poll, 2s+.
EXECUTIONS: the run id is the body's workflow_id (also the x-execution-id header, and your x-trace-id UUID if you sent one; replaying one is 409 duplicate_execution_id).
  GET /v1/executions (source, status, workflow_id). GET /v1/executions/{id}: running | completed | incomplete | failed | cancelled | needs_input | needs_approval.
  GET /v1/executions/{id}/output -> {content, steps}. GET /v1/executions/{id}/files. GET /v1/executions/{id}/conversation. DELETE /v1/executions/{id}. GET /v1/executions/{id}/stream = SSE.
  POST /v1/executions/{id}/continue {answer | approve, allow_scope: once|run|always}. POST /v1/executions/{id}/followup {text}. POST /v1/executions/{id}/cancel.
  POST /v1/executions/{id}/steer {text} queues a message for a live run (202), else 409 execution_finished.
WORKFLOWS: GET|POST /v1/workflows. GET|PATCH|DELETE /v1/workflows/{id}. GET|POST /v1/workflows/{id}/versions. POST /v1/workflows/{id}/versions/{versionId}/restore.
  Save needs {name, kind, yaml}; kind = workflow|agent|bot|campaign. GET /v1/workflows lists every kind unless ?kind=bot (or campaign). 422 invalid_workflow lists errors, writes nothing.
SCHEDULES: POST /v1/schedules {name, schedule, workflow_id, timezone?, parameters?}; schedule = a cron, or "@once" with run_at (ISO-8601 WITH a UTC offset, in the future);
  400 run_at_required | run_at_past. GET /v1/schedules. GET|PATCH|DELETE /v1/schedules/{id}. GET /v1/schedules/{id}/runs (execution_id per run).
  POST /v1/schedules/{id}/run. POST /v1/schedules/{id}/pause. POST /v1/schedules/{id}/resume. POST /v1/schedules/{id}/wake {note?, in?} fires it once, now or later.
TRIGGERS (every call names schedule_id; a secret is shown once): GET|POST /v1/triggers/webhook. DELETE /v1/triggers/webhook/{token}. POST /v1/triggers/webhook/{token}/rotate.
  The same four under /v1/triggers/email {allowed_from}. GET|POST /v1/triggers/hooks {url, events}. DELETE /v1/triggers/hooks/{id}.
PERMISSIONS: GET|PUT /v1/workflows/{id}/permissions {classes:{send|write|pay|delete: allow|ask|deny|hand_off}, locks, budget_usd_run, budget_usd_month}; locks need a team admin (403 lock_admin_required).
BOT DATA: GET /v1/workflows/{id}/workspace-files. GET /v1/workflows/{id}/workspace-files/download?path=. GET /v1/workflows/{id}/inbox. GET|POST /v1/workflows/{id}/bindings {channel, sender_id}.
  DELETE /v1/workflows/{id}/bindings/{channel}/{sender_id}. GET /v1/channels. POST /v1/channels/pair {channel}.
  GET|POST /v1/bot-groups {name, members = 2-6 of your bot ids}. PUT|DELETE /v1/bot-groups/{id}. GET /v1/bot-groups/{id}/thread.
MEMORY: GET /v1/memory/recall?q=. POST /v1/memory/remember {text, scope: memory|user}. POST /v1/memory/forget {id | text}. GET /v1/memory/runs?q= (q required). GET /v1/memory/runs/{id}.
SKILLS: GET /v1/skills. POST /v1/skills/learn {name, body} saves the body you send (it does not distill a URL). DELETE /v1/skills/{id}.
TEMPLATES: GET /v1/templates?kind=workflow|agent|bot. GET /v1/templates/{id}. POST /v1/templates/{id}/use {name?} -> 201 {workflow}.
CONNECTIONS: GET /v1/connections. POST /v1/connections/{provider} {api_key, on_behalf_of?}. DELETE /v1/connections/{provider}. POST /v1/connections/{provider}/link -> {url, expires_at}.
MODELS (OpenAI-shaped, Bearer only): GET /v1/models. POST /v1/chat/completions. POST /v1/embeddings.
TRACES: GET /v1/traces/{id}, id = the run's workflow_id.
LISTS: {workflows|executions|schedules|cards:[...], total, limit, offset, has_more}; POST /v1/schedules -> {schedule}.
ERRORS: {"error":{"code","message"}} plus an X-Error-Code header. 400 validation; 401 unauthorized; 403 refused | agent_not_active; 404 <thing>_not_found (a stranger's id too);
  409 approval_required, or not_paused | execution_finished | duplicate_execution_id | name_taken; 422 invalid_params; 429 rate_limited + Retry-After; 502/503 retry once.
  424 connection_required | credential_required carries error.connect {provider, method, link}: connect via POST /v1/connections/{provider} or its /link.
FENCES: 403 refused is final - surface it, never retry. 409 approval_required is a human boundary - never approve for the user. tools/{id}/execute: a human approves in Studio, then re-issue.
  A paused agent reply: re-send with approved:true plus its action_token (both). A run reading needs_approval: POST /v1/executions/{id}/continue, never the original call.

Where next

Operating the plungeai_* tools once connected: plungeai-mcp-setup.
Writing code that calls https://api.plungeai.com directly: plungeai-api-setup.
Picking MCP vs the One API for a given job: choose-your-plungeai-door.
An unlisted but MCP-capable client, or the shared connect concepts (native remote vs. stdio bridge, key hygiene): plungeai-mcp-setup.
Full guide: https://mcp.plungeai.com/docs#3-connecting-clients (opens in a new tab)