Figma Console MCP

Both tools can now read and write to Figma. Both support skills and guided workflows. So what’s actually different? The short answer: approach and audience. The Figma MCP is a task-driven agent tool optimized for code-to-canvas workflows. Figma Console MCP is a design system ecosystem tool built to keep design and development in sync. They overlap significantly, and they work well together.

The Short Version

Figma MCP (Official)

Made by Figma, Inc. — A design agent platform. Reads designs, generates code, captures web pages, and now writes to the canvas via use_figma. Skills guide agent behavior for consistent results.16 tools. REST API + use_figma. Closed source.

Made by Southleft — A design system management platform. 94+ dedicated tools for reading, writing, managing tokens, analyzing parity, and bridging the gap between designers and developers.94+ tools. Plugin API + REST API. Open source (MIT).

Shared Ground

With Figma’s March 2026 use_figma update, both tools now share a significant set of capabilities:

Capability	Figma MCP	Console MCP
Read file structure, components, styles	Yes	Yes
Export screenshots	Yes	Yes
Read variables / design tokens	Yes	Yes
Search design system assets across libraries	Yes	Yes
Create frames, shapes, text nodes	Yes (via `use_figma`)	Yes (dedicated tools)
Create components and component sets	Yes (via `use_figma`)	Yes (dedicated tools)
Modify auto-layout, fills, strokes	Yes (via `use_figma`)	Yes (dedicated tools)
Create and manage variables	Yes (via `use_figma`)	Yes (11 dedicated tools)
Resize, move, clone, delete nodes	Yes (via `use_figma`)	Yes (dedicated tools)
Execute arbitrary Plugin API JavaScript	No	Yes (`figma_execute`)
Structured create/edit/delete operations	Yes (`use_figma`)	Yes (dedicated tools)
Skills (markdown workflow guides)	Yes	Yes

Both support skills — markdown instruction files that teach agents patterns, gotchas, and workflows before executing tool calls. Skills are a Claude Code feature, not specific to either MCP server. The key difference is in how write access is surfaced: Figma MCP uses a single server-side use_figma tool that handles structured operations through Figma’s cloud. Figma Console MCP uses a WebSocket Desktop Bridge to execute Plugin API calls directly, exposing 94+ purpose-built tools with schema validation.

Where They Diverge

Tooling Philosophy

This is the most fundamental difference and it shapes everything else. Figma MCP provides one powerful generic tool (use_figma) that handles structured create, edit, delete, and inspect operations through Figma’s cloud infrastructure. Skills (markdown instruction files) guide the agent’s behavior, teaching it patterns like font loading, color ranges (0-1 not 0-255), and auto-layout ordering. Figma Console MCP provides 94+ purpose-built tools, each with its own schema, validation, error messages, and AI guidance. Instead of writing figma.createFrame() code, you call figma_create_child with structured parameters. Instead of scripting a variable loop, you call figma_batch_create_variables with a JSON array of 100 tokens.

Aspect	Figma MCP	Console MCP
Write approach	1 generic tool + skills	94+ specialized tools
Variable creation	One-at-a-time via `use_figma`	`figma_batch_create_variables` (100/call)
Error handling	Agent must interpret raw JS errors	Tool-specific error messages with suggestions
Validation	Skills teach patterns, agent must follow	Schema-validated inputs, type-checked params
Batch operations	Agent scripts loops manually	10-50x faster atomic batch tools

Why this matters: For a single component, both approaches work fine. For a design system with 500 tokens across 4 modes, dedicated tools with batch operations are dramatically faster and more reliable than repeated code execution.

Design System Management

Figma Console MCP was built for design system teams. These tools have no equivalent in Figma MCP:

Capability	Figma MCP	Console MCP
Batch create variables (up to 100/call)	No	Yes
Batch update variables (up to 100/call)	No	Yes
Atomic token system setup (collection + modes + variables)	No	Yes
Design-code parity analysis (8 dimensions)	No	Yes
AI-complete component documentation	No	Yes
Design system health scoring	No	Yes
Token enrichment and dependency mapping	No	Yes
Hardcoded value detection	No	Yes
Per-variant color token analysis	No	Yes
Component reconstruction specifications	No	Yes
Design linting	No	Yes
Design annotations (read, write, clear)	No	Yes (3 dedicated tools)
Annotation-enriched component docs	No	Yes

Code-to-Design Bridge (Figma MCP Strengths)

These are Figma MCP’s genuine differentiators:

Capability	Figma MCP	Console MCP
Code Connect (map components to code)	Yes (first-party)	No
AI-suggested Code Connect mappings	Yes	No
Framework-specific code output (React, Vue, etc.)	Yes (built-in)	Via AI interpretation
Design system rules generation	Yes	No
Capture live web pages into Figma layers	Yes (`generate_figma_design`)	No
Create FigJam diagrams from Mermaid syntax	Yes (`generate_diagram`)	No
Create new blank Figma files	Yes (`create_new_file`)	No
Figma community skills page	Yes	No

Code Connect is a significant advantage for teams that want to map Figma components directly to their codebase components. This creates a bridge where the AI knows which code component corresponds to each design component — making code generation more accurate.

Real-Time Awareness

Figma Console MCP’s Desktop Bridge provides live awareness that has no equivalent in Figma MCP:

Capability	Figma MCP	Console MCP
Track what the user has selected	No	Yes, in real time
Monitor document changes as they happen	No	Yes
Track page navigation events	No	Yes
Stream console logs from Desktop Bridge	No	Yes
Live plugin reload for development	No	Yes
Multi-file connection tracking	No	Yes
Connection health diagnostics	No	Yes

FigJam, Slides, Comments, and Annotations

Capability	Figma MCP	Console MCP
Read FigJam boards	Yes	Yes
Create FigJam diagrams (Mermaid)	Yes	No
Structured FigJam tools (stickies, connectors, tables, etc.)	No	Yes (9 dedicated tools)
Figma Slides (create, edit, manage)	No	Yes (83 tools)
File comments (read, post, delete)	No	Yes
Design annotations (read, write, clear, categories)	No	Yes (3 dedicated tools)

How They Connect to Figma

	Figma MCP	Console MCP
Connection method	REST API + server-side `use_figma` via Figma’s cloud	WebSocket Desktop Bridge + REST API
Runs where	Figma’s cloud or Desktop App	Your machine (`npx`) or self-hosted cloud
Authentication	OAuth (browser popup)	Personal Access Token
Source code	Closed source	Open source (MIT)
Transport	Streamable HTTP	stdio (local) or SSE/HTTP (remote)

Access and Pricing

	Figma MCP	Console MCP
Pricing	Usage-based (becoming a paid feature)	Free (MIT license)
Rate limits	Yes (plan-dependent)	No
Open source	No	Yes
Self-hostable	No	Yes
Supported MCP clients	11+ approved clients	Any MCP client
Cloud mode (web AI clients)	N/A	Yes (Claude.ai, v0, Lovable, Replit)

The Numbers

Metric	Figma MCP	Console MCP
Total tools	16	94+
Read tools	~10	~22
Write/create tools	1 (`use_figma`)	35+ dedicated tools
Variable management	Via `use_figma`	11 dedicated tools
Component management	Via `use_figma`	5+ dedicated tools
Node manipulation	Via `use_figma`	11+ dedicated tools
Annotation tools	0	3 dedicated tools
Real-time awareness	0	2
Debugging tools	0	5
FigJam tools	2 (read + diagram)	9 structured tools
Code Connect tools	5	0
Parity / documentation	0	3

Who Should Use Which

Product Engineers
Product Designers
Use Both Together

For engineers building from designs:

Figma MCP is the natural choice when:

You want structured, framework-specific code output from Figma designs
You’re using Code Connect to map design components to your codebase
You want to capture a running web app into Figma for review
You want zero-setup with Figma’s hosted infrastructure

Figma Console MCP is the better choice when:

You need to check if your coded components match the Figma specs (parity analysis)
You want to push design token changes back to Figma from code
You need AI-generated component documentation with token mappings
You want unlimited usage without rate limits
You want to self-host or audit the source code

The best workflow uses both

They’re complementary, not competitive:

System setup: Use Figma Console MCP to build your token architecture, create component variants with proper variable bindings, and organize your design system
Design creation: Use either — Figma MCP for agent-guided design creation, or Console MCP’s dedicated tools for systematic component building
Code generation: Use Figma MCP’s Code Connect and get_design_context for framework-specific code output from your designs
Maintenance: Use Figma Console MCP’s parity analysis to catch drift, then use either tool to fix discrepancies
Documentation: Use Console MCP to generate component documentation (including design annotations for animation timings, interaction specs, and accessibility requirements), then use Figma MCP’s design system rules to keep AI code generation consistent

Both servers can be configured in the same MCP client simultaneously.

Quick Reference Card

Question	Figma MCP	Console MCP
Can it read my designs?	Yes	Yes
Can it write to my designs?	Yes (via `use_figma`)	Yes (94+ tools)
Can it manage variables?	Yes (via code execution)	Yes (11 dedicated tools + batch)
Can it run arbitrary plugin code?	No	Yes (`figma_execute`)
Does it know what I selected?	No	Yes, in real time
Does it have Code Connect?	Yes (first-party)	No
Does it have batch operations?	No	Yes (10-50x faster)
Does it analyze design-code parity?	No	Yes (8 dimensions)
Does it have rate limits?	Yes (plan-dependent)	No
Is it open source?	No	Yes (MIT)
Can I self-host it?	No	Yes
Who made it?	Figma, Inc.	Southleft

A Note on the Evolution

When we first published this comparison in early 2025, the Figma MCP was a read-only, design-to-code tool. The landscape has changed significantly since then. Figma’s addition of use_figma is a meaningful step toward making the Figma canvas programmable by AI agents. Figma Console MCP’s role has also evolved. Where we once differentiated primarily on write access, our focus has sharpened on what we do best: design system ecosystem management, design-code parity, and bridging the gap between design and development disciplines. Both tools are better together. Use the one that fits your workflow, or use both.

Figma Console MCP is built by Southleft, a design and development studio. It is not affiliated with Figma, Inc. The official Figma MCP is built and maintained by the Figma team.

Getting Started

Guides

Reference

Figma MCP vs. Figma Console MCP

The Short Version

Figma MCP (Official)