plungeai_run_mission

Output schema: outcome envelopeCreates an execution: yes

https://mcp.plungeai.com/v1tools/callplungeai_run_mission

Authorizations

Authorizationstringheader

Bearer token: Authorization: Bearer ozk_….

X-API-Keystringheader

Alternative header: X-API-Key: ozk_….

Every request needs a key, tools/list included.

Arguments

user_requeststring

The user's original request, verbatim and in their own words, before you translated it into this call. Always include it — the platform uses it for request context, routing and support diagnostics.

Maximum string length: 4000

goalstringrequired

Maximum string length: 65536

missionstring

Default: You are a capable autonomous agent. Achieve the goal thoroughly and cite sources.

Maximum string length: 65536

allowed_toolsstring[]

Default: ["web_search", "web_fetch", "task_complete"]

Maximum array length: 50

max_iterationsinteger

Default: 8

Required range: 1 <= x <= 50

success_criteriastring[]

Maximum array length: 20

personastring

Maximum string length: 256

skillsstring[]

Maximum array length: 20

modeenum<string>

Available options: sync, async

Default: async

Output

statusenum<string>required

Available options: ok, needs_input, needs_connection, needs_api_key, needs_approval, unavailable, error

summarystringrequired

agent_idstring

operationstring

resultstring

execution_idstring

missingstring[]

warningsstring[]

remediationobject

Show child attributes

messagestringrequired

actionsobject[]required

contractobject

Run a bounded autonomous agent mission (loop agent): give a goal, optional tool fence and iteration cap. Recalls and writes long-term memory automatically. Defaults to async — poll plungeai_get_workflow_status. Always answers with a structured outcome (never a raw error) — follow the remediation instead of retrying the identical call.

Run a bounded autonomous agent mission (a loop agent): a goal, an optional tool fence and an iteration cap. Recalls and writes long-term memory automatically. Defaults to async: poll plungeai_get_workflow_status. Always answers with a structured outcome, never a raw error: follow the remediation instead of retrying the identical call.

Returns. Async: ok with Started mission `<id>` (async). … and the execution id. Sync: ok with the mission's output (also when it stopped at max_iterations: a sync mission never reports incomplete, 7.7 (opens in a new tab)), needs_approval / needs_input when it pauses, or a classified outcome on failure.

Runs an agent loop and costs credits (not verified here):

curl -s https://mcp.plungeai.com/v1 \
  -H "Authorization: Bearer $PLUNGE_API_KEY" \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"plungeai_run_mission","arguments":{"user_request":"what is notable about Sun Valley, Idaho?","goal":"Three sourced bullets on what is notable about Sun Valley, Idaho.","max_iterations":6,"success_criteria":["three bullets","a source URL per bullet"]}}}'

One parameter recurs across the tools: user_request (on every tool: a string of up to 4,000 characters, optional; clients should always send it). It is described once in Recurring parameters on the MCP overview.

import json import os import requests response = requests.post( "https://mcp.plungeai.com/v1", headers={ "Authorization": f"Bearer {os.environ['PLUNGE_API_KEY']}", "Accept": "application/json, text/event-stream", "Content-Type": "application/json", }, json={ "jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": { "name": "plungeai_run_mission", "arguments": { "goal": "<string>", }, }, }, ) for line in response.text.splitlines(): if line.startswith("data: "): print(json.loads(line[6:]))

import { Client } from '@modelcontextprotocol/sdk/client/index.js' import { StreamableHTTPClientTransport } from '@modelcontextprotocol/sdk/client/streamableHttp.js' const transport = new StreamableHTTPClientTransport(new URL('https://mcp.plungeai.com/v1'), { requestInit: { headers: { Authorization: `Bearer ${process.env.PLUNGE_API_KEY}` } }, }) const client = new Client({ name: 'my-app', version: '1.0.0' }) await client.connect(transport) const result = await client.callTool({ name: 'plungeai_run_mission', arguments: {"goal":"<string>"} }) console.log(result.content)

curl -N -X POST 'https://mcp.plungeai.com/v1' \ -H "Authorization: Bearer $PLUNGE_API_KEY" \ -H 'Accept: application/json, text/event-stream' \ -H 'Content-Type: application/json' \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"plungeai_run_mission","arguments":{"goal":"<string>"}}}'

{ "jsonrpc": "2.0", "id": 1, "result": { "content": [ { "type": "text", "text": "<string>" } ], "structuredContent": { "status": "ok", "summary": "<string>", "agent_id": "<string>", "operation": "<string>", "result": "<string>", "execution_id": "<string>", "missing": [ "<string>" ], "warnings": [ "<string>" ], "remediation": { "message": "<string>", "actions": [ {} ] }, "contract": {} } } }

plungeai_run_mission

Authorizations

Arguments

Output

Planned: TI-33

Planned: TI-34