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Compare MCP servers

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

DimensionHuman MCPBringing Human Capabilities to AI AgentsNPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS46 / 100 · D79 / 100 · B
Reliability4 / 2012 / 20
Security and permissions8 / 2016 / 20
Maintenance9 / 2018 / 20
Documentation13 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • AI coding agents needing visual debugging capabilities
  • Developers who need automated screenshots and visual analysis
  • Users interested in content generation (images, videos, music, speech)
  • Users who need advanced reasoning capabilities
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Users who only need text-based functionality (overkill)
  • Users seeking a fully local solution without API keys (relies on external AI providers)
  • Users needing audio processing (Ears not yet implemented)
  • 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
  • Requires Google Gemini API key (mandatory)
  • Optional API keys: Minimax, ZhipuAI, ElevenLabs
  • Optional Cloudflare R2 credentials for HTTP transport file uploads
  • Network access to external AI services
  • Local file access to read input files
  • 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
  • API key exposure: keys are stored in config, may be accidentally shared
  • Cost: generative AI usage may incur charges, especially in production
  • Data privacy: files may be uploaded to third-party services (Cloudflare R2) for processing
  • Dependency on external services: relies on availability of Google, Minimax, etc.
  • Configuration errors: invalid API keys or network issues causing failures
  • 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 Desktop, Claude Code, OpenCode, Cline, Cursor, WindsurfClaude Desktop, VS Code, Cursor
Tools3119