REPOGEO REPORT · LITE

grab/cursor-talk-to-figma-mcp

Default branch main · commit 1c46823f · scanned 5/25/2026, 5:53:24 PM

GitHub: 6,788 stars · 735 forks

AI VISIBILITY SCORE

33 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

2 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface grab/cursor-talk-to-figma-mcp, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Refine README opening to clarify unique value vs. generic APIs

Why:

CURRENT

This project implements a Model Context Protocol (MCP) integration between AI agent (Cursor, Claude Code) and Figma, allowing AI agent to communicate with Figma for reading designs and modifying them programmatically.

COPY-PASTE FIX

This project implements a Model Context Protocol (MCP) integration between AI agent (Cursor, Claude Code) and Figma, allowing AI agent to communicate with Figma for reading designs and modifying them programmatically. It provides a high-level, agent-centric interface, distinguishing it from general Figma API wrappers or plugins.

mediumtopics#2

Expand topics to include specific AI-design integration keywords

Why:

COPY-PASTE FIX

agent, agentic, agentic-ai, ai, ai-agents, automation, cursor, design, figma, generative-ai, llm, llms, mcp, model-context-protocol, figma-plugin, design-automation-ai, ai-workflow

lowreadme#3

Explicitly mention the project name in the README's opening paragraph

Why:

CURRENT

This project implements a Model Context Protocol (MCP) integration between AI agent (Cursor, Claude Code) and Figma, allowing AI agent to communicate with Figma for reading designs and modifying them programmatically.

COPY-PASTE FIX

The `Talk to Figma MCP` project implements a Model Context Protocol (MCP) integration between AI agent (Cursor, Claude Code) and Figma, allowing AI agent to communicate with Figma for reading designs and modifying them programmatically.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface grab/cursor-talk-to-figma-mcp

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Figma API

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Figma API · recommended 1×
Adobe XD Plugins/API · recommended 1×
Sketch Plugins/API · recommended 1×
AutoCAD .NET API / LISP · recommended 1×
Blender Python API · recommended 1×

CATEGORY QUERY
How to enable AI agents to programmatically read and modify design files?
you: not recommended
AI recommended (in order):
1. Figma API
2. Adobe XD Plugins/API
3. Sketch Plugins/API
4. AutoCAD .NET API / LISP
5. Blender Python API
6. Open Design Alliance (ODA) SDKs
7. D3.js
8. Fabric.js
9. SVGO
AI recommended 9 alternatives but never named grab/cursor-talk-to-figma-mcp. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for ways to connect AI assistants with design tools for workflow automation.
you: not recommended
AI recommended (in order):
1. Figma
2. ChatGPT
3. Google Gemini
4. Midjourney
5. DALL-E 3
6. Uizard
7. Adobe Photoshop
8. Adobe Illustrator
9. Adobe Firefly
10. Zapier
11. Make
12. Airtable
13. Python
14. requests
15. Pillow
16. FigmaPy
17. Adobe-CEP
18. Galileo AI
19. Relume AI
AI recommended 19 alternatives but never named grab/cursor-talk-to-figma-mcp. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of grab/cursor-talk-to-figma-mcp?
pass
AI named grab/cursor-talk-to-figma-mcp explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts grab/cursor-talk-to-figma-mcp in production, what risks or prerequisites should they evaluate first?
pass
AI named grab/cursor-talk-to-figma-mcp explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo grab/cursor-talk-to-figma-mcp solve, and who is the primary audience?
pass
AI did not name grab/cursor-talk-to-figma-mcp — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

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HTML

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grab/cursor-talk-to-figma-mcp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite