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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionOpen CoworkOpen-source personal AI agent desktop app with one-click install, multi-model support, sandbox isolation, and MCP integration.NPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS58 / 100 · C79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions12 / 2016 / 20
Maintenance14 / 2018 / 20
Documentation13 / 2018 / 20
Setup experience11 / 2015 / 20
Best for
  • Users needing AI-powered desktop automation on Windows or macOS.
  • Users who want a GUI to use AI coding tools like Claude Code.
  • Security-conscious users who need sandbox isolation.
  • Users who need to generate professional document formats (PPTX, DOCX).
  • Teams that want to integrate remote control via Feishu or Slack.
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Linux users, as no official installer is provided (though you can build from source).
  • Advanced users who prefer command-line tools without a GUI.
  • Users with no API keys or who are sensitive to API costs.
  • Users needing fully offline operation, as AI functionality requires external API calls.
  • Users wanting to use non-standard models or custom endpoints, though OpenAI-compatible APIs are supported, extra configuration may be needed.
  • Projects outside the NPM ecosystem (e.g., pure Python/Go)
  • Environments without network access to deps.dev, OSV.dev, and the npm registry
  • Scenarios requiring maintenance by an official upstream vendor
Required permissions
  • Read and write access to the selected workspace folder.
  • Ability to execute commands in VMs (WSL2 or Lima).
  • Access to external services via MCP connectors (e.g., browser, Notion).
  • Network access to call AI model APIs and external services.
  • Network access to the NPM registry and external services (deps.dev, OSV.dev, OpenSSF, npms.io, GitHub)
  • Read access to workspace lockfiles (pnpm-lock.yaml, package-lock., yarn.lock) for cache invalidation
Risks and side effects
  • AI operations may accidentally delete or modify files; use sandbox isolation and authorize carefully.
  • If sandbox is disabled, commands execute locally on the host, posing security risks.
  • API keys are stored locally; protect them from exposure.
  • Remote control features (like Feishu) can be abused; ensure access controls.
  • Third-party MCP connectors may introduce security risks; only use trusted ones.
  • Third-party READMEs and changelogs are untrusted external content; they are wrapped in tags with _meta flags but should still be handled cautiously
  • Depends on availability and accuracy of external services
  • Batch requests are capped at 25 packages to prevent registry enumeration; larger sets require batching
  • Third-party open source project, not officially maintained by NPM or Anthropic
Supported clientsClaude DesktopClaude Desktop, VS Code, Cursor
Tools519