MCP server

Compute Connector

com.botrecipe/compute

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Low on memory? Your bot sends heavy jobs to cloud sandboxes on your own provider keys. Flat fee.

Website

At a glance

Type

MCP server

Publisher

botrecipe.com (verified by the MCP Registry)

Status

Working at last check

Tools

8

Token cost

About 1,519 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

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 compute https://compute.cloudforbots.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.compute]
url = "https://compute.cloudforbots.com/mcp"

Gemini CLI

{"mcpServers":{"compute":{"httpUrl":"https://compute.cloudforbots.com/mcp"}}}

Cursor

{"mcpServers":{"compute":{"url":"https://compute.cloudforbots.com/mcp"}}}

VS Code

{"servers":{"compute":{"type":"http","url":"https://compute.cloudforbots.com/mcp"}}}

Antigravity

agy mcp add compute https://compute.cloudforbots.com/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":"compute","server_url":"https://compute.cloudforbots.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"compute","server_url":"https://compute.cloudforbots.com/mcp"}

Tools

• check_memory ~294 tokens
  Before a heavy job, send how much memory the machine your agent runs on has free (free -m, os.freemem()) and what you are about to run. Get a memory warning and a verdict: run_local, or offload with the provider to use. Free watch-only logs would_offload for the weekly report; nothing runs.
• delete_provider_key Deletes data · ~67 tokens
  Pro, owner only: delete a saved provider key by name. Jobs on that key stop working at once.
• list_providers ~74 tokens
  Every provider this connects to, how each one runs, and (with your key) the provider keys you saved: name, provider, fingerprint, default, last used. Never shows a key.
• provider_setup ~116 tokens
  Step-by-step setup for one provider: where to get the key, what to pass to save_provider_key, links to its docs and price page, and for Modal or Workers Sandbox the bridge code to deploy on your own account.
• run_job Runs commands · ~444 tokens
  Pro: run a shell command in a fresh cloud sandbox on your own provider account (vercel (Vercel Sandbox, default), e2b, daytona, modal, workers (Workers Sandbox)) and get the exit code and the last 16 KB of stdout and stderr back. Send small input files with it. The sandbox is created for the job and
• save_provider_key ~379 tokens
  Pro, owner only: save one provider key, sealed with AES-256-GCM before it reaches the database. Providers: vercel (Vercel Sandbox, default), e2b, daytona, modal, workers (Workers Sandbox). Vercel needs team_id and project_id; Modal and Workers Sandbox need bridge_url (see provider_setup). The key is
• usage_and_upgrade ~58 tokens
  Show today's usage for your key or IP and the $9/month upgrade link. Free tier: 500 calls/day. Not metered.
• weekly_report ~87 tokens
  Plain-English summary of the last 7 days: memory checks, low-memory warnings, jobs that would have been offloaded (free) or ran (Pro) by provider, minutes and failures. Read-only; sends nothing. Needs an API key.

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