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Compare MCP servers

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

DimensionCode PathfinderAn MCP server for code intelligence and cross-file taint analysis for security teams.NPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS54 / 100 · D79 / 100 · B
Reliability8 / 2012 / 20
Security and permissions10 / 2016 / 20
Maintenance12 / 2018 / 20
Documentation13 / 2018 / 20
Setup experience11 / 2015 / 20
Best for
  • Security teams that need local code-structure analysis and security scanning.
  • Projects using Python, Dockerfiles, or Docker Compose.
  • Development teams that want Claude Code, Cursor, or Cline to access call-graph and security analysis.
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Projects requiring proven stable Go analysis support; the README lists Go as coming soon.
  • Use cases requiring only general language-server functionality without security or code-structure analysis.
  • Integrations that require source-listed MCP tool identifiers or a client-specific configuration example.
  • 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
  • Needs to read and index source code and configuration files under the selected project root.
  • When remote rulesets are used, it needs to download rules; the README says rules are fetched automatically from a CDN.
  • No API keys or cloud accounts are required according to the README.
  • 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
  • Results depend on supported languages, selected rulesets, and code structure; the README marks only Python, Dockerfiles, and Docker Compose as stable.
  • Providing a project to the analyzer allows it to process source code and configuration contents in that project.
  • Automatic CDN rule downloads depend on external network availability.
  • 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 Code, Cursor, ClineClaude Desktop, VS Code, Cursor
Tools019