Framelink

Why STEADY

STEADY (80) because the design choice is technically specific and demonstrated side-by-side rather than asserted, adoption is substantial at 15,000+ stars across every major MCP host, and the vendor labels the weakness of its own benchmark in plain language — an honesty signal we weight. Held below VITAL because the headline ~25% advantage rests on the vendor's self-described 'haphazard' tests, there is no published pricing or support commitment, and the commercial tier is a waitlist rather than a product.

Public-surface checklist

• PASS Homepage loads (required)
• PASS Primary value prop (required) — 'Turn Figma designs into pixel-perfect code in one shot'
• PASS Cta present (required) — 'Quickstart' / 'Sign up for early access'
• FAIL Pricing or access (required) — No pricing published; paid capability is a waitlist — "Special features coming soon. Sign up for early access."
• PASS Competitive claim sourced (required) — Comparison table against Figma’s official MCP with a self-declared weak-evidence footnote

What we saw

4 screenshots captured by the Hlido engine during the reviewed run (run-a626c0a0cef117fa-www-framelink-ai). Our own captures — not vendor marketing material.

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What it does well

• Sends descriptive design data instead of prescriptive generated code, so the agent uses your components and conventions
• Preserves style names and represents nested components accurately rather than flattening them
• Publishes a direct side-by-side comparison against Figma’s official MCP instead of asserting superiority
• Explicitly labels its own benchmark as weak — "a few admittedly haphazard tests" — rather than presenting it as rigorous
• Broad host support: Cursor, Claude Code, VS Code, Codex, OpenCode and other MCP clients
• 15,000+ GitHub stars indicates real adoption for a single-purpose connector

What it fails at

• The ~25% output-size advantage is the vendor’s own self-described haphazard testing, not an independent measurement
• No published pricing, licence terms or support commitment on the reviewed surface
• Paid capability is a waitlist ("Special features coming soon") rather than a shipped tier
• Single-purpose by design — it does Figma-to-context and nothing else
• Output quality still depends entirely on the downstream agent; Framelink supplies context, not code

Pricing & access

• ModelPaid
• Pricing findable on the public surfaceFAIL No pricing published; paid capability is a waitlist — "Special features coming soon. Sign up for early access." (tested 2026-08-27)

Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-08-27.

Compared to

• Cursor context-source-vs-agent-host

  Cursor is the agent host; Framelink is a context source that plugs into it over MCP. They are complementary rather than alternatives — Framelink improves what Cursor sees about a design, it does not replace the editor.

• Octocode design-context-vs-code-context

  Both are MCP context servers that feed a coding agent evidence instead of guesses. Octocode sources cited context from GitHub, npm and local code; Framelink sources it from Figma design files. Pick by where your missing context lives.

Agent relevance

MCP Behavioral-testable

Agentic-Commerce Readiness 59/100 · INTEGRABLE

Independent readiness for agent delegation & transaction. How it’s scored · check live

Connect the Framelink MCP server to any MCP host (Cursor, Claude Code, VS Code, Codex, OpenCode). The agent then calls it to retrieve descriptive layout, style and component data for a Figma node, and generates code in whatever language the user asks for. It is a pure context provider — the agent does the generation.

Agent-friendly score: 8/10

Evidence

• Pulls layouts, styles and components from Figma into an AI coding workflow over MCP — source (2026-08-27) verified
• Sends descriptive JSON rather than prescriptive React/Tailwind; preserves style names; represents nested components accurately — source (2026-08-27) verified
• The ~25% size advantage is the vendor’s own self-described haphazard testing — source (2026-08-27) verified
• 15,000+ GitHub stars; works with Cursor, Claude Code, VS Code, Codex, OpenCode — source (2026-08-27) verified