> ## Documentation Index
> Fetch the complete documentation index at: https://www.plungeai.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# plungeai-in-windsurf

> Connect Windsurf (Cascade) to PlungeAI (Ocean Studio) over MCP — a ~/.codeium/windsurf/mcp_config.json entry using serverUrl, the mcp-remote bridge fallback for stdio-only builds, the 100-tool cap, and a plungeai_whoami + plungeai_list_agents verify.


Connect Windsurf (Cascade) to PlungeAI (Ocean Studio) over MCP — a ~/.codeium/windsurf/mcp_config.json entry using serverUrl, the mcp-remote bridge fallback for stdio-only builds, the 100-tool cap, and a plungeai_whoami + plungeai_list_agents verify. Use when the user is in Windsurf/Cascade and says connect / install / set up PlungeAI, mentions mcp_config.json or serverUrl, or plungeai_* tools aren't showing up. For another editor use its plungeai-in-<tool> skill; for an unlisted but MCP-capable client use plungeai-mcp-setup's generic client config.

[Download zip](https://skills.plungeai.com/plungeai-in-windsurf.zip) · [View raw SKILL.md](https://skills.plungeai.com/plungeai-in-windsurf/SKILL.md)

Windsurf 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). No install-page
deeplink exists for Windsurf — it is a config-file tool.

## Prerequisites

- An `ozk_` key: Dashboard → **One API → Keys** (https://dashboard.plungeai.com) —
  self-service, shown once, copy it now.

## Connect (once)

Merge into `~/.codeium/windsurf/mcp_config.json` (user-level — the right
home for the key), then reload the MCP servers from Cascade's MCP panel or
restart Windsurf:

    {
      "mcpServers": {
        "plungeai": {
          "serverUrl": "`https://mcp.plungeai.com/v1`",
          "headers": { "Authorization": "Bearer ozk_YOUR_KEY" }
        }
      }
    }

`serverUrl` is the documented key for remote servers (the vendor docs also
accept `url`; every vendor example uses `serverUrl` — stick with it).

Older, stdio-only builds bridge with mcp-remote instead:

    {
      "mcpServers": {
        "plungeai": {
          "command": "npx",
          "args": ["-y", "mcp-remote", "`https://mcp.plungeai.com/v1`",
                   "--header", "Authorization: Bearer ozk_YOUR_KEY"]
        }
      }
    }

## Verify

1. Cascade's MCP panel shows `plungeai` with tools after a refresh.
2. In Cascade: "use plungeai_whoami to confirm my identity" → an identity
   card.
3. "use plungeai_list_agents to search 'web search'" → live results from the
   active agent catalog.

## Quirks

- Config edits are not hot-reloaded — refresh/reload the MCP panel (or
  restart Windsurf) after every change, before debugging anything else.
- Tool cap: Cascade has a limit of roughly 100 total tools across all
  servers. If `plungeai_*` tools are missing, disable unused servers and
  refresh.
- Discovery-first rules live in project `.windsurf/rules/*.md` (the legacy
  single-file `.windsurfrules` is also still read) or the global
  `~/.codeium/windsurf/memories/global_rules.md`. Rules files are
  committed — never put the key there.
- Money-verb PlungeAI operations still pause with a structured
  `needs_approval` outcome (relay it, then `plungeai_continue`) regardless
  of any auto-run setting.

## 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 `.windsurf/rules/plungeai.md` (rules locations: Quirks)
— that file is committed, so never put the key in it.
The minimal saved-workflow body (`workflow:` / `tasks:` YAML) is in **plungeai-api-setup**.

```text
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
