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Compare MCP servers

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

DimensionFileScopeMCPYour AI already knows how to code. Now it knows your codebase.NPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS56 / 100 · C79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions12 / 2016 / 20
Maintenance11 / 2018 / 20
Documentation14 / 2018 / 20
Setup experience11 / 2015 / 20
Best for
  • Developers who need deep codebase context for AI assistants.
  • Teams that want to maintain code metadata automatically during development.
  • Projects using multiple languages (supports TS/JS, Python, C/C++, Rust, Go, etc.).
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Scenarios requiring only a simple file list without dependency analysis.
  • Environments without Node.js >=22.
  • Fully offline settings without an LLM (though basic features still work).
  • 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
  • File system read and watch permissions (to scan the codebase).
  • Write permissions (to create `.filescope/data.db` database).
  • Network permissions (optional, to connect to a local LLM endpoint).
  • 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
  • Importance scoring is heuristic and may not align with all project preferences.
  • Regex-based parsing for some languages may be less accurate than AST.
  • LLM summaries depend on external services, potentially raising privacy concerns.
  • Database may consume significant space on large codebases.
  • 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, Cursor AI, CodexClaude Desktop, VS Code, Cursor
Tools1719