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COMPARE UP TO 4 SERVERS

Compare MCP servers

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

DimensionwitnessLocal memory & self-improvement engine that witnesses your growth as a developer.Context7Upstash's official server providing up-to-date third-party library docs for AI coding assistantsNPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS62 / 100 · C80 / 100 · B79 / 100 · B
Reliability10 / 2014 / 2012 / 20
Security and permissions14 / 2016 / 2016 / 20
Maintenance10 / 2017 / 2018 / 20
Documentation16 / 2015 / 2018 / 20
Setup experience12 / 2018 / 2015 / 20
Best for
  • Developers who want to preserve learnings across AI coding sessions.
  • Those seeking a second brain / AI memory that their agent can query for thinking patterns.
  • Privacy-conscious users who require all data stay local.
  • People who want to track their growth as a developer over time.
  • Developers using fast-moving frameworks/libraries worried about the AI suggesting stale code
  • Scenarios wanting zero-config documentation lookup
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Those needing project-level memory or codebase history (it focuses on the person, not the code).
  • Those needing cloud sync or multi-user collaboration (it's local-first).
  • Users unfamiliar with CLI or unwilling to run a local model download.
  • Proactive coaching expecting in-session suggestions or nudges (it's a tool, not a coach).
  • Looking up internal/private codebase documentation (Context7 targets publicly published open-source libraries)
  • Cases needing very high coverage of obscure, niche libraries (coverage depends on what Context7's platform has indexed)
  • 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
  • Reads user prompts and assistant messages captured by Claude Code hooks.
  • Reads OpenCode's local SQLite session database.
  • Accesses local file system for storing data (default `~/.local/share/witness/`).
  • Invokes `claude -p` or a private `opencode serve` runner for distillation.
  • Usable without an API key (subject to a free-tier rate limit); CONTEXT7_API_KEY is an optional credential for higher quota
  • Read-only documentation lookup — no code execution or local filesystem access involved
  • 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
  • Data is all local but requires regular backups; don't sync live data directory directly.
  • May require significant disk space as the model ~470MB and raw transcripts accumulate.
  • Uses LLM distillation which can incur compute and cost depending on runner configuration.
  • Ensure to use `witness export` for consistent snapshots for backup to avoid corruption.
  • The free tier has limited quota — high-frequency use may hit rate limits
  • Documentation content comes from Context7's platform index, so its accuracy and freshness depend on that platform's crawl cadence
  • 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, OpenCodeClaude Code, VS Code, Cursor, Cline, AmpClaude Desktop, VS Code, Cursor, Smithery.ai
Tools5219