M
MCP Directory CURATED DIRECTORY
911 MCP servers indexed
中文
← Back to directory
COMPARE UP TO 4 SERVERS

Compare MCP servers

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

DimensionCLIO SpackStructured Spack discovery and installation tools for scientific agentsNPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS50 / 100 · D79 / 100 · B
Reliability10 / 2012 / 20
Security and permissions10 / 2016 / 20
Maintenance10 / 2018 / 20
Documentation10 / 2018 / 20
Setup experience10 / 2015 / 20
Best for
  • AI agents requiring package discovery and installation in Spack-managed HPC environments.
  • Scientific computing workflows wanting structured interaction with Spack to reduce parsing errors.
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Package management outside of Spack environments (e.g., pip, conda).
  • Generic scenarios needing arbitrary command execution or custom Spack commands.
  • 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
  • Executes Spack commands (spack find, spack locate, spack install) to manage packages.
  • Reads Spack installation information to determine installed packages and versions.
  • 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
  • Installing new packages may alter system state with potential impacts.
  • Concretization options (reuse/fresh) may affect dependency resolution and installation time.
  • Server provides structured output, but actual installations happen in the underlying system; ensure Spack environment is correctly configured.
  • 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, Cursor, VS CodeClaude Desktop, VS Code, Cursor
Tools319