For AI agents: a documentation index is available at https://docs.plungeai.com/llms.txt. Append .md to any page URL, or send Accept: text/markdown, to get markdown. Setup instructions for agents are at https://docs.plungeai.com/agents.md. Execution planes take an ozk_ key; the models plane takes an sk-ocean- key.

Documentation Index: fetch the complete documentation index at /llms.txt. Use this file to discover all available pages before exploring further.

Connect v0 (Vercel) to PlungeAI (Ocean Studio) over MCP — the + menu → MCPs form, why the generated Next.js app must call PlungeAI through a server Route Handler (v0 apps can't call MCP directly), and a plungeai_whoami + plungeai_list_agents verify. Use when the user is in v0 and says connect / install / set up PlungeAI, mentions the MCPs panel, or a generated v0 app 401s against PlungeAI. For another builder use its plungeai-in-<tool> skill; for an unlisted but MCP-capable client use plungeai-mcp-setup's generic client config.

Download zip (opens in a new tab) · View raw SKILL.md (opens in a new tab)

v0 is a hosted builder: no local config file and no JSON entry anywhere — the MCP form is the only surface, and the key lives only in that entry.

Prerequisites

Connect (once)

Open the + menu in the prompt form → MCPs → add your own server (the project settings page offers the same via Add MCP):

FieldValue
NamePlungeAI
URLhttps://mcp.plungeai.com/v1
AuthenticationBearer Token → paste the ozk_ key itself (v0 adds the Bearer prefix); or Custom Headers → Authorization = Bearer ozk_YOUR_KEY. If one form 401s, try the other. (No Auth and OAuth don't apply — PlungeAI OAuth hasn't shipped.)

Then pick the server's permission mode: Disabled, Ask for Approval (Manual), or Always Run (Auto). Manual is the sane default; money-verb PlungeAI operations still pause with a structured needs_approval outcome even under Auto — relay it, then plungeai_continue.

The generated app cannot call MCP

v0's generated code cannot use the MCP tools directly — pair the MCP with Environment Variables. So the split is: the builder chat operates PlungeAI over MCP; the generated Next.js app calls the One API server-side only, e.g. a Route Handler:

// app/api/plungeai/route.ts
export async function POST(req: Request) {
  const { input, agentId } = await req.json()
  const r = await fetch(
    `https://api.plungeai.com/v1/agents/${agentId}/execute`,
    {
      method: "POST",
      headers: {
        Authorization: `Bearer ${process.env.PLUNGEAI_API_KEY}`,
        "Content-Type": "application/json",
      },
      body: JSON.stringify({ input, sync: true }),
    },
  )
  return Response.json(await r.json())
}

Key in a Vercel env var (PLUNGEAI_API_KEY, every environment that needs it), never in client components, never prefixed NEXT_PUBLIC_.

Verify

  1. Builder chat: "use plungeai_whoami to confirm my identity" → an identity card.
  2. Generated app (server side): curl -H "Authorization: Bearer ozk_YOUR_KEY" https://api.plungeai.com/v1/agents → HTTP 200 JSON.
  3. "use plungeai_list_agents to search 'web search'" → live results from the active agent catalog.

Quirks

  • v0 previews run without the project's env vars until linked/deployed — a preview 401 from the app does not mean the integration is wrong; verify with the curl check above, then set the env var on the Vercel project.
  • If generation puts the fetch in a "use client" component, regenerate with: "PlungeAI calls go through a Route Handler; the key stays server-side."
  • Long CNL workflows: prefer async mode (plungeai_execute_workflow with mode: "async" + plungeai_get_workflow_status) over one long synchronous builder-chat call.

Where next

  • Writing the Route Handler / server code that calls https://api.plungeai.com: plungeai-api-setup.
  • Operating the plungeai_* tools in chat: plungeai-mcp-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)

Planned: TI-33

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Planned: TI-34

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