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MCP Sandbox Computer VM for AI

PYPI · MCP-SANDBOX-COMPUTER-VM-FOR-AI · SCANNED AUG 18

Named Docker and Fly Machine sandbox computers with an interactive MCP App dashboard.

68 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security99
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 7 of 66 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
Schema Quality & AI Usability85
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 487 tokens (~60/item across 8 items; 7 tools + 1 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
  • Supports UI / widget rendering.Pass

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

pypi · mcp-sandbox-computer-vm-for-ai

# add to Claude Code
claude mcp add flujo-app-mcp-sandbox-computer-vm-for-ai -- uvx mcp-sandbox-computer-vm-for-ai
# add to Codex CLI
codex mcp add flujo-app-mcp-sandbox-computer-vm-for-ai -- uvx mcp-sandbox-computer-vm-for-ai
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "flujo-app-mcp-sandbox-computer-vm-for-ai": {
      "type": "local",
      "command": [
        "uvx",
        "mcp-sandbox-computer-vm-for-ai"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add flujo-app-mcp-sandbox-computer-vm-for-ai --command uvx --arg mcp-sandbox-computer-vm-for-ai
# ~/.hermes/config.yaml
mcp_servers:
  flujo-app-mcp-sandbox-computer-vm-for-ai:
    command: "uvx"
    args: ["mcp-sandbox-computer-vm-for-ai"]
// mcp.json
{
  "mcpServers": {
    "flujo-app-mcp-sandbox-computer-vm-for-ai": {
      "command": "uvx",
      "args": [
        "mcp-sandbox-computer-vm-for-ai"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 14 Aug 26 +15
    • Malware scan: unverified → pass security
  • 13 Aug 26 −15
    • Malware scan: pass → unverified security
  • 12 Aug 26 68

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 18 Aug 2026 · Analysed pypi/mcp-sandbox-computer-vm-for-ai@0.2.2

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi
Dependencies 66 packages
Packages resolved 66
Stale 6
No linked repository 1
Tree resolution Complete
MCP tools · 7 exposed · ~472 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
computer_create ~73

Create a temporary or permanent sandbox computer. If computer_id is omitted, a readable random slug is returned.

NameTypeReqDescription
computer_idstringOptional lowercase slug. Omit to generate a readable random ID.
temporarybooleanRemove on MCP session shutdown when true; persist and allow reattachment by ID when false.

No output schema declared.

No examples provided.

computer_dashboard ~31

Open the interactive MCP App dashboard for listing computers, running terminal commands, restarting, factory-resetting, and deleting.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

computer_delete ~33

Permanently delete a computer and all of its writable state.

NameTypeReqDescription
computer_idstringyesComputer slug to permanently delete

No output schema declared.

No examples provided.

computer_factory_reset ~40

Erase a computer's writable filesystem and recreate it from the base image.

NameTypeReqDescription
computer_idstringyesComputer slug whose writable state will be erased

No output schema declared.

No examples provided.

computer_list ~18

List all sandbox computers managed by the selected backend.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

computer_restart ~30

Restart a computer without erasing its writable filesystem.

NameTypeReqDescription
computer_idstringyesComputer slug to restart

No output schema declared.

No examples provided.

sandbox_exec ~247

Execute a shell command in an isolated Debian Linux sandbox. Commands run in bash. Each call is independent — no state (shell variables, working directory) persists between calls (however filesystem does persist). Use the working_directory parameter or chain commands with && to control execution context. To write files or pass data without shell escaping, use the stdin parameter (e.g., command="cat > file.txt" with content in stdin). Commands time out after 120 seconds by default (override with the timeout parameter for long-running operations).

NameTypeReqDescription
argsarrayList of arguments for direct execution (mutually exclusive with command).
commandstringShell command string (mutually exclusive with args).
computer_idstringStable computer slug. Omit to create and select a readable random ID for this MCP session.
stdinstringContent to pipe to stdin.
temporarybooleanRemove the computer when its MCP session shuts down. Set false to keep it provider-side and reconnect by computer_id.
timeoutintegerTimeout in seconds (defaults to server config).
working_directorystringWorking directory for the command (must be absolute).

No output schema declared.

No examples provided.