Framelink Figma Context MCP vs Postgres MCP Pro

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Framelink Figma Context MCP MCP Servers	Postgres MCP Pro MCP Servers
Tagline	MCP server that feeds Figma layout, styles and components into AI coding agents like Cursor and Claude Code.	Open-source Postgres MCP server with deterministic health checks, index tuning, and safe SQL execution.
Category	MCP Servers	MCP Servers
Pricing	Free· Free and open source (MIT). Optional Framelink hosted extras are gated behind a waitlist with no published pricing.	Free· Free and open source (MIT license). No paid tiers.
Model	—	Model-agnostic (works with any MCP-capable LLM); optional OpenAI models for experimental LLM-based index tuning
Editorial score	—	—
Use cases	Figma-to-React component generation in CursorMarketing landing page implementation from a Figma frameSwiftUI or Jetpack Compose screens from mobile mockupsDesign system token extraction into Tailwind or CSS variablesReconciling a Figma redesign against existing componentsGenerating HTML/CSS prototypes from a design filePixel-accurate spacing and typography audits inside an IDE agent	AI-assisted query optimization in Cursor or Claude DesktopAutomated index recommendations for slow workloadsEXPLAIN plan review with hypothetical indexesProduction database health monitoring via LLM chatDetecting bloated, duplicate, or unused indexesVacuum and transaction-id wraparound risk auditsSafe read-only SQL exploration by AI agentsSchema introspection for LLM SQL generationShared team Postgres MCP endpoint over SSE
Pros	Descriptive JSON output preserves your codebase conventions instead of forcing auto-generated React/Tailwind Roughly 25% smaller payload than Figma's official MCP, which matters for context-window-limited agents Deduplicates repeated styles and correctly represents nested component instances Works with Cursor, Claude Code, Windsurf, VS Code, Cline — any MCP client, not locked to one IDE One-line npx install; only a Figma personal access token is required MIT licensed, active repo (~15k stars), self-hostable with no vendor lock-in Keeps token names and component props, so generated code can reference your design system	Deterministic index tuning based on the Anytime Algorithm plus hypopg what-if simulation, not LLM guesswork Comprehensive PgHero-derived health checks covering bloat, cache, connections, vacuum, replication, and sequences Restricted mode enforces read-only transactions and blocks COMMIT/ROLLBACK escapes via pglast SQL parsing Works with any MCP client (Claude Desktop, Cursor, Windsurf, Cline, Goose, Qodo Gen) and supports both stdio and SSE transports MIT-licensed and free; installs via Docker, pipx, uvx, or uv with clear per-client config recipes Cost-benefit index selection along the Pareto front with configurable performance-vs-storage threshold Actively maintained by Crystal DBA with Discord community and public roadmap on GitHub
Cons	Read-only — cannot push code changes back to Figma or edit designs Quality of output still depends on how disciplined the Figma file is (auto-layout, named styles, components) Requires a Figma personal access token per developer; no team-level auth flow Framelink hosted tier is a waitlist with no public pricing, so long-term commercial model is unclear Very large or deeply nested files can still blow past model context if you request whole pages instead of frames	Postgres-only; no MySQL, SQL Server, or other database support Full-featured tuning requires pg_stat_statements and hypopg extensions, which self-managed installs may need to install manually Only two coarse access modes (unrestricted vs restricted) with no per-table or column-level ACLs Credentials are supplied at startup via DATABASE_URI, so switching databases means restarting the server Experimental LLM-based index tuning requires an OpenAI API key and adds external cost/latency Workload compression is basic (query normalization, equal weighting), which can misrank importance in complex workloads
Website	github.com	github.com

Pick Framelink Figma Context MCP if

✅ Descriptive JSON output preserves your codebase conventions instead of forcing auto-generated React/Tailwind
✅ Roughly 25% smaller payload than Figma's official MCP, which matters for context-window-limited agents
✅ Deduplicates repeated styles and correctly represents nested component instances
✅ Works with Cursor, Claude Code, Windsurf, VS Code, Cline — any MCP client, not locked to one IDE

Pick Postgres MCP Pro if

✅ Deterministic index tuning based on the Anytime Algorithm plus hypopg what-if simulation, not LLM guesswork
✅ Comprehensive PgHero-derived health checks covering bloat, cache, connections, vacuum, replication, and sequences
✅ Restricted mode enforces read-only transactions and blocks COMMIT/ROLLBACK escapes via pglast SQL parsing
✅ Works with any MCP client (Claude Desktop, Cursor, Windsurf, Cline, Goose, Qodo Gen) and supports both stdio and SSE transports

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