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.

Channel 1 (preferred): PlungeAI MCP server

Connect once (self-service ozk_ key from Dashboard → One API → Keys, https://dashboard.plungeai.com):

claude mcp add --transport http plungeai https://mcp.plungeai.com/v1 \
  --header "Authorization: Bearer ozk_YOUR_KEY"

Other MCP clients (Claude Desktop, Cursor, …) use the mcpServers JSON form:

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

Then the whole loop is tool calls — no copy-paste:

  1. plungeai_list_agents {search: "<capability in plain words>"} — hybrid semantic search over the live catalog. Take agent ids ONLY from results; fetch a full card with {agent_id} before using an unfamiliar agent (cards carry parameters and "Not for → use X instead" redirects).
  2. plungeai_execute_workflow {workflow_yaml: "<draft>", input: "..."} — test ad-hoc before saving. Use mode: "async" + plungeai_get_workflow_status for runs longer than ~3 minutes.
  3. plungeai_workflow {action: "create", name, yaml, description} — the platform re-validates server-side, then saves and syncs live to Studio and peer apps. A refusal lists field-level errors — fix exactly those and retry. This is your final validation step.
  4. plungeai_workflow {action: "save_version"} before big edits; action: "update" to iterate.
  5. plungeai_learn {source: "<distilled findings>"} — save research from this chat as a reusable platform skill.

Channel 2: paste into Ocean Studio

No MCP server? Produce the final YAML in a fenced block for the user. In Ocean Studio: open (or create) the workflow and switch to the Code tab → paste the YAML → the editor offers Validate YAML Syntax and Format YAML → save. Errors surface inline.

Channel 3: direct HTTP API (advanced)

Same gateway, raw MCP JSON-RPC over HTTP. Get a self-service ozk_ key from Dashboard → One API → Keys (https://dashboard.plungeai.com).

# list available tools
curl -s https://mcp.plungeai.com/v1 \
  -H "Authorization: Bearer ozk_YOUR_KEY" -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

# execute an ad-hoc workflow (YAML goes in as a JSON string)
curl -s https://mcp.plungeai.com/v1 \
  -H "Authorization: Bearer ozk_YOUR_KEY" -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"plungeai_execute_workflow","arguments":{"workflow_yaml":"name: quick\ntasks:\n  - agent: brave-agent\n    prompt: \"{input}\"\n","input":"latest AI news"}}}'

Create/save is the same shape with "name":"plungeai_workflow", "arguments":{"action":"create","name":"…","yaml":"…"}. X-API-Key: ozk_YOUR_KEY works as an alternative header. Rate limits by tier: free 30/min, pro 100/min, enterprise 300/min.

Planned: TI-33

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Planned: TI-34

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