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COMPARE UP TO 4 SERVERS

Compare MCP servers

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

DimensionAsk Antigravity MCP ServerBridge Claude with Google's Antigravity CLI for a second model's reviewContext7Upstash's official server providing up-to-date third-party library docs for AI coding assistantsNPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS59 / 100 · C80 / 100 · B79 / 100 · B
Reliability9 / 2014 / 2012 / 20
Security and permissions11 / 2016 / 2016 / 20
Maintenance12 / 2017 / 2018 / 20
Documentation14 / 2015 / 2018 / 20
Setup experience13 / 2018 / 2015 / 20
Best for
  • Users who already have a Google AI Pro/Ultra subscription and the agy CLI installed
  • Developers who want an independent review from a different vendor's model
  • One-shot, quota-backed second-opinion calls without metered API billing
  • 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
  • Environments without the Antigravity CLI (agy) installed and authenticated
  • Workflows needing multi-turn sessions or session resume (this server is one-shot)
  • Production-critical flows requiring stable, non-experimental guarantees
  • Users who cannot send code to Google models (use the Ollama server for fully local runs)
  • 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
  • Spawn the agy CLI (Antigravity CLI) process on the host machine
  • Use the locally stored Google AI Pro/Ultra credentials and subscription quota
  • Read code and file context passed in as prompt content (sandbox on by default; reading directories via --add-dir may require setting ASK_ANTIGRAVITY_SANDBOX=0)
  • Write local logs and npm cache
  • 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
  • Reviewed code is sent to Google's Antigravity service, which may expose sensitive information
  • Sandbox is on by default; setting ASK_ANTIGRAVITY_SANDBOX=0 to read context reduces that isolation
  • The server is experimental and one-shot, and behavior or quota may change upstream
  • Long runs may time out (default 5 minutes), especially with large context reads
  • Subscription quota may be consumed or rate-limited
  • It is an unofficial third-party tool with no affiliation to Google or Anthropic
  • 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 Code, Cursor, Codex, Claude DesktopClaude Code, VS Code, Cursor, Cline, AmpClaude Desktop, VS Code, Cursor
Tools1219