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COMPARE UP TO 4 SERVERS

Compare MCP servers

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

DimensionQMD MCP ServerA local hybrid search engine for Markdown knowledge bases.NPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS56 / 100 · C79 / 100 · B
Reliability9 / 2012 / 20
Security and permissions11 / 2016 / 20
Maintenance8 / 2018 / 20
Documentation15 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Users who want documents and model processing to remain local
  • Individuals and teams with Markdown documents, meeting records, or code documentation
  • Agent workflows that benefit from combined keyword and semantic search
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Users seeking hosted cloud search, remote knowledge-base synchronization, or built-in authentication
  • Environments without resources to run local models or download GGUF files
  • Use cases involving files outside configured collections or unsupported indexed content
  • 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 access to configured collection files for indexing and document retrieval
  • Write access to local QMD configuration, cache, SQLite index, and model-cache locations
  • Network access to download GGUF models from HuggingFace on first use; collection update hooks may also execute configured shell commands
  • 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
  • HTTP endpoints are unauthenticated by default; add an authentication layer before binding the server to a non-local address
  • The index may contain personal notes, meeting transcripts, or internal documentation, so local index files and HTTP access require protection
  • Configured collection update commands execute through bash in the collection directory and can abort subsequent updates on failure
  • Custom project-local configuration can reference paths outside the project or custom models; untrusted fields are skipped in non-interactive environments
  • 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 CodeClaude Desktop, VS Code, Cursor
Tools419