MCP server
AgentCompute
io.github.Ockram4444/agentcompute
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Free experimental GPU tools: text generation, images and audio transcription. Shared quotas; no SLA.
Working at last checkAbout 1,719 tokens per request once connected9 tools
https://u8x5gpk0ul.execute-api.eu-north-1.amazonaws.com/v1/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 9
- Token cost
- About 1,719 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http agentcompute https://u8x5gpk0ul.execute-api.eu-north-1.amazonaws.com/v1/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.agentcompute] url = "https://u8x5gpk0ul.execute-api.eu-north-1.amazonaws.com/v1/mcp"
Gemini CLI
{"mcpServers":{"agentcompute":{"httpUrl":"https://u8x5gpk0ul.execute-api.eu-north-1.amazonaws.com/v1/mcp"}}}
Cursor
{"mcpServers":{"agentcompute":{"url":"https://u8x5gpk0ul.execute-api.eu-north-1.amazonaws.com/v1/mcp"}}}
VS Code
{"servers":{"agentcompute":{"type":"http","url":"https://u8x5gpk0ul.execute-api.eu-north-1.amazonaws.com/v1/mcp"}}}
Antigravity
agy mcp add agentcompute https://u8x5gpk0ul.execute-api.eu-north-1.amazonaws.com/v1/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"agentcompute","server_url":"https://u8x5gpk0ul.execute-api.eu-north-1.amazonaws.com/v1/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"agentcompute","server_url":"https://u8x5gpk0ul.execute-api.eu-north-1.amazonaws.com/v1/mcp"}
Tools
create_trial_access~152 tokens
Create a private 24-hour trial token automatically. No ChatGPT account, payment or manual setup. Audio: 3 jobs per session. Chat/images: 24 total submissions per rolling 24 hours, 10 per session/reported client, one active task per session, shared queue of 3. Global access issuance caps apply. Retaiget_compute_job~177 tokens
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.get_compute_status~77 tokens
Check whether the GPU provider can accept audio transcription work. Returns availability, permitted task types, and limits. Does not start a job.get_service_status~82 tokens
Public live availability, model catalog, free-trial limits and polling guidance. No token required. Check before submitting; an offline GPU cannot execute work.get_studio_image~121 tokens
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.get_studio_job~136 tokens
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.submit_chat_job~360 tokens
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 thesubmit_compute_job~347 tokens
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 refesubmit_image_job~267 tokens
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.
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