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COMPARE UP TO 4 SERVERS

Compare MCP servers

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

DimensionFigma MCP ServerBring Figma design context and code generation into your AI coding workflow.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
FMRS64 / 100 · C80 / 100 · B79 / 100 · B
Reliability7 / 2014 / 2012 / 20
Security and permissions12 / 2016 / 2016 / 20
Maintenance14 / 2017 / 2018 / 20
Documentation17 / 2015 / 2018 / 20
Setup experience14 / 2018 / 2015 / 20
Best for
  • Product and frontend teams with paid Figma seats (Dev/Full) who frequently generate code from designs
  • Teams with well-structured design systems using components, variables, and Auto Layout
  • Teams using Code Connect to keep generated code consistent with real components
  • 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
  • Use cases requiring an offline or local stdio MCP server (this server is remote Streamable HTTP only)
  • Starter plan users or View/Collab seat holders, who are capped at 6 tool calls per month
  • Scenarios needing direct local filesystem access (this server provides Figma design data, not filesystem access)
  • 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
  • Requires Figma account authentication (e.g. `/mcp auth figma` in Gemini CLI) to access files the user has permission to view
  • The remote server can read design data (layers, variables, styles, screenshots) for selected Figma nodes
  • The write-to-canvas feature (remote server only) can create/modify frames, components, variables, and Auto Layout in Figma files
  • 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
  • Design data is processed through Figma's officially hosted remote server and your AI client, not run locally
  • Write-to-canvas access could unintentionally modify real Figma files if an agent follows a bad instruction
  • Read-type tool calls are rate limited per Figma plan/seat; Starter and View/Collab seat users are capped at just 6 calls per month
  • Write-to-canvas is currently free during beta but is expected to become a usage-based paid feature
  • 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 clientsVS Code, Cursor, Claude Code, Gemini CLIClaude Code, VS Code, Cursor, Cline, AmpClaude Desktop, VS Code, Cursor, Smithery.ai
Tools4219