AgentCompute English Transcription

English WAV transcription on a GPU. No login: agents obtain temporary trial access automatically.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
71%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,565Tokens (Tool-Definitionen)
~998 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.22% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "english-transcription": {
      "url": "https://agentcompute-pilot-portal.beigemelon258.chatgpt.site/v1/mcp"
    }
  }
}

Remote-Endpunkte

https://agentcompute-pilot-portal.beigemelon258.chatgpt.site/v1/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (9)

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🟡create_trial_access

Create a private 24-hour trial token automatically. No ChatGPT account, payment or manual setup. Audio: 3 jobs per session. Chat/images: shared queue of 3 active tasks, no per-session job quota. Global access issuance caps apply. Retain the token for upload and result retrieval. Reuse the session; never create new sessions to bypass quotas.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢get_compute_status

Check whether the GPU provider can accept English transcription work. Returns availability, permitted task types, and limits. Does not start a job.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟡submit_compute_job(access_token, asset_id, kind, idempotency_key)

Beta users must supply their uploaded asset_id and kind compute_job. No accuracy guarantee is made for uploaded files. Owner legacy calls can queue the fixed synthetic benchmark. compute_job returns a transcript; delegated_task additionally requires word error rate at most 10% against the known reference. Returns a job_id to poll with get_compute_job. No payment is charged. Reuse the same idempotency_key for retries, and use a new key only for a new job.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "access_token": {
      "type": "string",
      "description": "Temporary token returned by create_trial_access. Optional when Bearer authentication is configured."
    },
    "asset_id": {
      "type": "string",
      "description": "Owned upload ID returned by POST /v1/beta/upload. Required for public beta buyers."
    },
    "kind": {
      "type": "string",
      "enum": [
        "compute_job",
        "delegated_task"
      ],
      "description": "Transcription only, or transcription with the reference quality gate."
    },
    "idempotency_key": {
      "type": "string",
      "minLength": 8,
      "maxLength": 100,
      "pattern": "^[A-Za-z0-9_-]{8,100}$",
      "description": "Unique request key. Keep it unchanged on retries."
    }
  },
  "required": [
    "kind",
    "idempotency_key"
  ],
  "additionalProperties": false
}
🟢get_compute_job(access_token, job_id)

Read a previously submitted job by job_id. Returns status, transcript, runtime and reference quality when complete. For queued or running jobs, wait poll_after_seconds before checking again. Failed or expired jobs are not successful results.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "access_token": {
      "type": "string",
      "description": "Temporary trial token, unless Bearer authentication is configured."
    },
    "job_id": {
      "type": "string",
      "pattern": "^job_[a-f0-9]{32}$",
      "description": "Exact job_id returned by submit_compute_job."
    }
  },
  "required": [
    "job_id"
  ],
  "additionalProperties": false
}
🟢get_service_status

Public live availability, model catalog, free-trial limits and polling guidance. No token required. Check before submitting; an offline GPU cannot execute work.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟡submit_chat_job(access_token, messages, consent, idempotency_key)

Queue a free text task: draft, summarize, extract, translate text, reason or assist with code. No code is executed. Provide user/assistant messages, explicit consent for nonconfidential permitted content, and a stable idempotency key. Returns immediately with a job ID. Poll get_studio_job. Uses the configured local model, no external AI fallback.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "access_token": {
      "type": "string",
      "description": "Private token from create_trial_access; optional with Bearer authentication."
    },
    "messages": {
      "type": "array",
      "minItems": 1,
      "maxItems": 16,
      "description": "At most 12,000 characters in total. End with a user message. Include previous messages for follow-up context.",
      "items": {
        "type": "object",
        "properties": {
          "role": {
            "type": "string",
            "enum": [
              "user",
              "assistant"
            ]
          },
          "content": {
            "type": "string",
            "minLength": 1,
            "maxLength": 12000
          }
        },
        "required": [
          "role",
          "content"
        ],
        "additionalProperties": false
      }
    },
    "consent": {
      "type": "boolean",
      "const": true,
      "description": "Confirm permission to process this nonconfidential content."
    },
    "idempotency_key": {
      "type": "string",
      "minLength": 8,
      "maxLength": 100,
      "pattern": "^[A-Za-z0-9_-]{8,100}$"
    }
  },
  "required": [
    "messages",
    "consent",
    "idempotency_key"
  ],
  "additionalProperties": false
}
🟡submit_image_job(access_token, prompt, consent, idempotency_key)

Queue a free text-to-image task from a complete scene description. Each task is independent, not an edit of a previous image. Returns a job ID; poll get_studio_job then get_studio_image for the PNG. Configured model and size appear in service status/results. No external AI fallback.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "access_token": {
      "type": "string",
      "description": "Private token from create_trial_access; optional with Bearer authentication."
    },
    "prompt": {
      "type": "string",
      "minLength": 3,
      "maxLength": 1200,
      "description": "Complete image description. English prompts are recommended."
    },
    "consent": {
      "type": "boolean",
      "const": true,
      "description": "Confirm permission to process this nonconfidential content."
    },
    "idempotency_key": {
      "type": "string",
      "minLength": 8,
      "maxLength": 100,
      "pattern": "^[A-Za-z0-9_-]{8,100}$"
    }
  },
  "required": [
    "prompt",
    "consent",
    "idempotency_key"
  ],
  "additionalProperties": false
}
🟢get_studio_job(access_token, job_id)

Read your own chat/image job. Includes partial text while running, final text or image availability, GPU runtime and server timings. Wait poll_after_seconds between checks; stop on succeeded, failed or expired. Does not create or retry work.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "access_token": {
      "type": "string"
    },
    "job_id": {
      "type": "string",
      "pattern": "^studio_[a-f0-9]{32}$"
    }
  },
  "required": [
    "job_id"
  ],
  "additionalProperties": false
}
🟢get_studio_image(access_token, job_id)

Return the completed image as an MCP image content block. Requires the same token/identity that submitted the job. Images expire after 24 hours from submission; download before expiry.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "access_token": {
      "type": "string"
    },
    "job_id": {
      "type": "string",
      "pattern": "^studio_[a-f0-9]{32}$"
    }
  },
  "required": [
    "job_id"
  ],
  "additionalProperties": false
}

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