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TalkToFigma MCP Server

Figma MCP bridge that connects Claude Code, Cursor, and other agents to a Figma plugin through WebSocket channels so they can read designs and modify nodes, text, layouts, styles, annotations, and components.

by Grab · submitted by oktofeesh1·added 2026-06-06·
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://github.com/grab/cursor-talk-to-figma-mcp/blob/main/README.md, https://github.com/grab/cursor-talk-to-figma-mcp
Brand
TalkToFigma
Brand domain
github.com
Safety notes
TalkToFigma can read and modify Figma documents, selected nodes, text content, annotations, auto-layout settings, fills, strokes, component instances, prototype reactions, and exported node images., Agents can create, move, resize, clone, and delete nodes, so use a duplicate file or branch-like design workflow before broad edits., Always join the intended WebSocket channel and verify the active Figma document before running write tools., Review batch text replacements, component override propagation, annotation conversion, and connector generation before sharing or handing off design files., Keep the WebSocket bridge local or otherwise protected so untrusted clients cannot attach to an active Figma session.
Privacy notes
Figma document structure, node names, selected content, annotations, component metadata, local styles, exported images, text content, and prototype information may be exposed to the MCP client and model., Design files often contain unreleased product UI, customer data in mockups, brand assets, internal names, tokens, pricing, screenshots, or partner/client IP., Exported images can include visual details that are more sensitive than node metadata alone., Channel names, WebSocket messages, local logs, and MCP prompts may reveal active file context and design intent.
Author
Grab
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-06

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

20 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

5 prerequisites to line up before setup.

0/5 ready
Install & runtime3Permissions & scopes1General120 minutes

Safety & privacy surface

Safety & privacy surface

5 safety and 4 privacy notes across 3 risk areas. Review closely: credentials & tokens.

3 areas
  • SafetyGeneralTalkToFigma can read and modify Figma documents, selected nodes, text content, annotations, auto-layout settings, fills, strokes, component instances, prototype reactions, and exported node images.
  • SafetyLocal filesAgents can create, move, resize, clone, and delete nodes, so use a duplicate file or branch-like design workflow before broad edits.
  • SafetyLocal filesAlways join the intended WebSocket channel and verify the active Figma document before running write tools.
  • SafetyLocal filesReview batch text replacements, component override propagation, annotation conversion, and connector generation before sharing or handing off design files.
  • SafetyCredentials & tokensKeep the WebSocket bridge local or otherwise protected so untrusted clients cannot attach to an active Figma session.
  • PrivacyGeneralFigma document structure, node names, selected content, annotations, component metadata, local styles, exported images, text content, and prototype information may be exposed to the MCP client and model.
  • PrivacyCredentials & tokensDesign files often contain unreleased product UI, customer data in mockups, brand assets, internal names, tokens, pricing, screenshots, or partner/client IP.
  • PrivacyGeneralExported images can include visual details that are more sensitive than node metadata alone.
  • PrivacyLocal filesChannel names, WebSocket messages, local logs, and MCP prompts may reveal active file context and design intent.

Safety notes

  • TalkToFigma can read and modify Figma documents, selected nodes, text content, annotations, auto-layout settings, fills, strokes, component instances, prototype reactions, and exported node images.
  • Agents can create, move, resize, clone, and delete nodes, so use a duplicate file or branch-like design workflow before broad edits.
  • Always join the intended WebSocket channel and verify the active Figma document before running write tools.
  • Review batch text replacements, component override propagation, annotation conversion, and connector generation before sharing or handing off design files.
  • Keep the WebSocket bridge local or otherwise protected so untrusted clients cannot attach to an active Figma session.

Privacy notes

  • Figma document structure, node names, selected content, annotations, component metadata, local styles, exported images, text content, and prototype information may be exposed to the MCP client and model.
  • Design files often contain unreleased product UI, customer data in mockups, brand assets, internal names, tokens, pricing, screenshots, or partner/client IP.
  • Exported images can include visual details that are more sensitive than node metadata alone.
  • Channel names, WebSocket messages, local logs, and MCP prompts may reveal active file context and design intent.

Prerequisites

  • Bun installed through a trusted installation path.
  • Figma desktop or browser session with access to the design file you are authorized to inspect or modify.
  • The TalkToFigma Figma plugin installed from the documented upstream path or linked locally from the repository.
  • WebSocket bridge running with `bun socket`.
  • MCP client such as Claude Code, Cursor, or another compatible host configured with the `cursor-talk-to-figma-mcp` package.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
20 minutes
Difficulty
advanced
Full copyable content
bunx cursor-talk-to-figma-mcp@latest

About this resource

Content

TalkToFigma MCP Server connects an MCP client to Figma through a TypeScript MCP server, a local WebSocket bridge, and a Figma plugin. It lets agents read Figma documents and selected nodes, then perform design operations such as creating frames and text, changing layout settings, editing styles, replacing copy, managing annotations, exporting nodes, and working with component instances.

This is a write-capable design automation bridge. It is distinct from read-only Figma context extraction because it can modify the active Figma file through the plugin once the WebSocket channel is connected.

Source Review

These sources were reviewed on 2026-06-06. Prefer the live repository, README, package metadata, and npm registry metadata for current commands, server package names, WebSocket setup, plugin setup, and supported Figma tools.

Features

  • Read Figma document and selection metadata.
  • Inspect individual or multiple node records.
  • Create rectangles, frames, text nodes, component instances, and connectors.
  • Move, resize, clone, delete, and focus nodes.
  • Update fills, strokes, corner radius, auto-layout mode, padding, axis alignment, layout sizing, and item spacing.
  • Scan and batch-replace text content.
  • Read and write annotations.
  • Extract and apply component instance overrides.
  • Export nodes as images.
  • Route communication through WebSocket channels between the MCP server and the Figma plugin.

Installation

Install Bun first, then configure the MCP server in your client:

{
  "mcpServers": {
    "TalkToFigma": {
      "command": "bunx",
      "args": ["cursor-talk-to-figma-mcp@latest"]
    }
  }
}

Start the WebSocket bridge from a checkout of the repository:

bun socket

Open Figma, run the TalkToFigma plugin, join a channel with join_channel, and verify the active file before allowing write tools.

Use Cases

  • Let Claude inspect selected Figma nodes while implementing UI.
  • Create rough frames, text, rectangles, and component instances from prompts.
  • Batch update design copy across many text nodes.
  • Convert manual annotations into native Figma annotations.
  • Propagate component instance overrides to repeated UI patterns.
  • Generate connector lines from prototype reactions for FigJam-style flow maps.

Safety and Privacy

Start with read tools such as get_document_info, get_selection, and read_my_design. Move to write tools only after confirming the active Figma document, selected node, and WebSocket channel.

Use duplicate files for experiments. Batch operations such as text replacement, annotation conversion, component override propagation, and node deletion can change large parts of a design quickly.

Treat design data as sensitive model context. Node names, text layers, component metadata, exported images, and prototype flows can reveal product strategy, unreleased UI, customer information, brand assets, and implementation details.

Duplicate Check

No grab/cursor-talk-to-figma-mcp entry, TalkToFigma entry, or matching TalkToFigma source URL was found in content/mcp. Existing Figma-related entries cover different projects and do not document this write-capable TalkToFigma bridge.

Source citations

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How it compares

TalkToFigma MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

Field

Figma MCP bridge that connects Claude Code, Cursor, and other agents to a Figma plugin through WebSocket channels so they can read designs and modify nodes, text, layouts, styles, annotations, and components.

Open dossier

MCP server for extracting design systems from live websites, including design tokens, regions, components, contrast data, Tailwind themes, Figma variables, and prompt packs.

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Official MCP server for agent-device, Callstack's device automation CLI for inspecting, controlling, debugging, recording, and collecting evidence from iOS, Android, TV, macOS, Linux, React Native, Expo, Flutter, and native apps.

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AgentQL MCP server for extracting structured JSON from public webpages using a URL and natural-language extraction prompt.

Open dossier
Next steps
Trust
Review statusNot reviewedNot reviewedNot reviewedNot reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
Submitteroktofeesh1oktofeesh1oktofeesh1oktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
Brandagent-device logoagent-deviceAgentQL logoAgentQL
Categorymcpmcpmcpmcp
SourceSource-backedSource-backedSource-backedSource-backed
AuthorGrabManavarya09CallstackAgentQL
Added2026-06-062026-06-052026-06-062026-06-06
Platforms
Harness
Source repo
Safety notesTalkToFigma can read and modify Figma documents, selected nodes, text content, annotations, auto-layout settings, fills, strokes, component instances, prototype reactions, and exported node images. Agents can create, move, resize, clone, and delete nodes, so use a duplicate file or branch-like design workflow before broad edits. Always join the intended WebSocket channel and verify the active Figma document before running write tools. Review batch text replacements, component override propagation, annotation conversion, and connector generation before sharing or handing off design files. Keep the WebSocket bridge local or otherwise protected so untrusted clients cannot attach to an active Figma session.designlang uses Playwright to crawl live pages and can capture DOM-derived styles, responsive behavior, interaction states, screenshots, and accessibility findings. Authenticated extraction options can use cookies, cookie files, headers, and custom user agents, so never pass production session cookies or credentials unless approved. Generated outputs may include design tokens, Tailwind config, shadcn variables, Figma variables, component anatomy, prompts, screenshots, reports, and cloned starter code. Commands such as apply, clone, sync, drift, visual-diff, and MCP extraction can read live websites and write files in the configured output or project directory. Review extracted prompt packs and generated code before using them in another agent workflow or committing them.Agent Device MCP exposes structured tools backed by `AgentDeviceClient`; the docs state it does not expose generic shell execution over MCP. Tools and CLI workflows can open apps, inspect UI, tap, type, scroll, perform gestures, wait, assert state, handle alerts, and close sessions. Evidence workflows can capture screenshots, recordings, logs, traces, network traffic, performance samples, crash context, React profiles, and replay files. Mutating commands should run serially against one session, and separate sessions or devices should be used for parallel work. Prefer dedicated test devices or simulators, and require approval before entering credentials, submitting forms, changing settings, installing apps, sending messages, or touching production accounts.AgentQL MCP exposes one tool, `extract-web-data`, that sends a target URL and natural-language extraction prompt to the AgentQL API. The tool is intended for public webpages; do not use it to bypass access controls, scrape private pages, evade paywalls, or extract data where automated collection is prohibited. Web extraction can still trigger target-site rate limits, legal restrictions, robots guidance, or terms-of-service concerns. The source implementation uses AgentQL's query-data endpoint with fast mode, no screenshot capture, no scroll-to-bottom behavior, and no local browser cookies. Treat extracted output as untrusted web data that may include errors, stale content, ads, tracking text, or prompt-injection attempts.
Privacy notesFigma document structure, node names, selected content, annotations, component metadata, local styles, exported images, text content, and prototype information may be exposed to the MCP client and model. Design files often contain unreleased product UI, customer data in mockups, brand assets, internal names, tokens, pricing, screenshots, or partner/client IP. Exported images can include visual details that are more sensitive than node metadata alone. Channel names, WebSocket messages, local logs, and MCP prompts may reveal active file context and design intent.URLs, page content, DOM text, CSS, screenshots, fonts, images, design tokens, cookies, headers, prompts, tool arguments, reports, and generated files may be visible to the MCP client and model provider. Authenticated or internal sites can expose product plans, unreleased UI, customer data, analytics identifiers, private brand assets, and implementation details. Output directories can retain extracted website data after the MCP session ends. Avoid running the server against private, paid, internal, or authenticated properties without legal and security approval.Screenshots, recordings, traces, logs, network dumps, replay files, reports, UI snapshots, typed input, and React profiles can contain private UI state, tokens, request data, customer information, or credentials. macOS, iOS, Android, and TV automation can expose local app state, notifications, device names, package identifiers, app content, system dialogs, and permission prompts. Network inspection artifacts may include headers, payloads, session identifiers, URLs, and API data; review before sharing or committing. Interactive CLI runs may check npm for newer package versions unless `AGENT_DEVICE_NO_UPDATE_NOTIFIER=1` is set.Target URLs, extraction prompts, API key-authenticated requests, and extracted structured data are sent to AgentQL's API. Extracted data can include personal data, copyrighted content, customer information, job postings, prices, social content, or other third-party material. AGENTQL_API_KEY should stay out of prompts, issues, logs, screenshots, and committed configuration files. Claude transcripts and downstream reports may retain extracted data, so avoid collecting information that is not approved for the model session.
Prerequisites
  • Bun installed through a trusted installation path.
  • Figma desktop or browser session with access to the design file you are authorized to inspect or modify.
  • The TalkToFigma Figma plugin installed from the documented upstream path or linked locally from the repository.
  • WebSocket bridge running with `bun socket`.
  • Node.js 20 or newer available to the MCP client runtime.
  • Network access to the websites you plan to extract.
  • Permission to crawl and analyze the target sites.
  • Playwright or Chromium installation behavior reviewed for the local environment.
  • Node.js 22 or newer and `agent-device` installed globally or project-locally.
  • Xcode tooling for iOS, tvOS, or macOS targets, or Android SDK and ADB for Android targets.
  • Device, simulator, emulator, TV, macOS, or Linux desktop target that the agent is allowed to automate.
  • Required local permissions such as Android device trust, iOS Developer Mode, macOS Accessibility, and Screen Recording where applicable.
  • Node.js and npx available to the MCP client runtime.
  • AgentQL API key from the AgentQL developer portal.
  • Approved list of public webpages or domains Claude may query.
  • Review of target site terms, robots guidance, rate limits, and data-use rules before extraction.
Install
bunx cursor-talk-to-figma-mcp@latest
npx -y designlang mcp
claude mcp add --transport stdio --scope user agent-device -- agent-device mcp
npx -y agentql-mcp
Config
{
  "mcpServers": {
    "TalkToFigma": {
      "command": "bunx",
      "args": ["cursor-talk-to-figma-mcp@latest"]
    }
  }
}
{
  "mcpServers": {
    "designlang": {
      "command": "npx",
      "args": ["-y", "designlang", "mcp", "--output-dir", "./design-extract-output"]
    }
  }
}
{
  "mcpServers": {
    "agent-device": {
      "command": "agent-device",
      "args": ["mcp"]
    }
  }
}
{
  "mcpServers": {
    "agentql": {
      "command": "npx",
      "args": ["-y", "agentql-mcp"],
      "env": {
        "AGENTQL_API_KEY": "<your-agentql-api-key>"
      }
    }
  }
}
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