plungeai_followup

Creates an execution: no

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

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

execution_idstringrequired

Maximum string length: 256

promptstringrequired

Maximum string length: 65536

Output

Markdown text.

Ask a follow-up about a completed execution: it continues the run's agent session, or researches with the prior context. If the execution is still running, the message is queued and injected at its next turn (steering); if it has finished, the conversation continues.

Returns. Running: Queued your message to running execution `<id>` (delivered at its next turn). Finished: the answer as Markdown, plus a ⏸ block if the agent pauses again. Errors (isError: true): Execution not found., Followup agent call failed, Failed to retrieve follow-up response. Details: 9.5 (opens in a new tab).

Runs a model 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_followup","arguments":{"user_request":"now focus on the competitive landscape","execution_id":"<execution_id>","prompt":"Do the same analysis, but focus on the competitive landscape."}}}'

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_followup", "arguments": { "execution_id": "<string>", "prompt": "<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_followup', arguments: {"execution_id":"<string>","prompt":"<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_followup","arguments":{"execution_id":"<string>","prompt":"<string>"}}}'

plungeai_followup

Authorizations

Arguments

Output

Planned: TI-33

Planned: TI-34