Figma MCP Server

Q: What is Figma MCP Server?

Community MCP server for Figma design platform integration. Provides tools for reading file structures, extracting component data, accessing design tokens, and querying frame and layer properties.

MCP ServerFree

Read Figma designs, components, and design tokens via MCP.

Open Source

/ 100

10 capabilities

Capabilities10 decomposed

figma file structure introspection and document tree traversal

Medium confidence

Reads and traverses the complete hierarchical structure of Figma design files via the Figma REST API, exposing the document tree with metadata about pages, frames, components, and layers. Implements recursive tree walking to expose nested layer relationships and properties, enabling programmatic access to design file organization without manual UI navigation.

Solves for

I need to programmatically understand the structure of a Figma file to extract specific design elementsI want to audit the organization and hierarchy of layers in a design system fileI need to map Figma file structure to code generation or documentation pipelines

Best for

Design system teams automating design-to-code workflows

Developers building design asset extraction pipelines

Teams integrating Figma into CI/CD or documentation generation

Requires

Figma API token (personal or OAuth)

Figma file ID (accessible from file URL)

Network connectivity to Figma API endpoints

Limitations

Requires valid Figma API token with file read permissions

Large files (1000+ layers) may incur API rate limiting

Tree traversal is synchronous and may block on deeply nested structures

What makes it unique

Exposes Figma's document tree as a queryable MCP resource, allowing Claude and other LLM clients to directly inspect design file structure without requiring developers to write custom API wrappers or parse raw Figma JSON responses

vs alternatives

Simpler than building custom Figma API clients because it abstracts authentication, pagination, and tree traversal into standard MCP tool calls that work with any MCP-compatible client

component metadata extraction and library introspection

Medium confidence

Extracts detailed metadata about Figma components including component sets, variants, properties, and documentation. Queries the Figma API to surface component definitions, variant configurations, and property schemas, enabling programmatic discovery of design system components and their configuration options without manual inspection.

Solves for

I need to generate code stubs or documentation for all components in our design systemI want to audit which component variants exist and how they're configuredI need to map Figma component properties to React component props or design token references

Best for

Design system maintainers automating component documentation

Frontend teams generating component libraries from Figma

Design-to-code automation platforms

Requires

Figma API token with team library access

Published components in a Figma team library

Figma Professional or higher plan for advanced component features

Limitations

Component metadata is only available for published components in team libraries

Variant property schemas may not fully capture all design intent (e.g., custom logic)

No support for querying component usage across files

What makes it unique

Surfaces Figma component variant schemas and property definitions as structured data, allowing LLM-based agents to reason about component capabilities and generate accurate code bindings without manual schema definition

vs alternatives

More complete than manual component audits because it programmatically discovers all variants and properties, reducing human error and enabling real-time sync with design system changes

design token extraction and semantic value mapping

Medium confidence

Extracts design tokens (colors, typography, spacing, shadows) from Figma files and maps them to semantic names and values. Parses Figma's token plugin format or custom naming conventions to surface design tokens as structured data, enabling synchronization with code-based token systems (CSS variables, design token JSON, etc.).

Solves for

I need to sync Figma design tokens to my codebase's CSS variables or token JSON filesI want to audit which tokens are defined in Figma and detect unused or conflicting tokensI need to generate a design token reference document from Figma

Best for

Design system teams maintaining token parity between Figma and code

Teams automating design token synchronization workflows

Developers building design token documentation generators

Requires

Figma API token

Design tokens defined in Figma (via naming convention or Tokens plugin)

Optional: Figma Tokens plugin for structured token format

Limitations

Token extraction depends on consistent naming conventions or Figma Tokens plugin format

No built-in support for token aliasing or computed values

Token values are extracted as static snapshots — no real-time sync

What makes it unique

Bridges Figma design tokens to code-based token systems by extracting semantic token definitions and mapping them to standard formats (CSS variables, JSON), enabling automated token synchronization without manual copy-paste

vs alternatives

More flexible than Figma Tokens plugin alone because it can extract tokens from custom naming conventions and export to multiple formats, supporting teams with existing token infrastructure

frame and layer property querying with filtered selection

Medium confidence

Queries properties of specific frames, layers, and design elements within a Figma file, including dimensions, positioning, fill colors, stroke properties, text content, and constraints. Implements filtered selection logic to retrieve properties for named layers or layers matching criteria, returning structured property objects without requiring manual layer navigation.

Solves for

I need to extract the exact dimensions and positioning of a specific frame for responsive design calculationsI want to programmatically read text content from Figma layers to populate a content management systemI need to audit fill colors and stroke properties across a design file to detect inconsistencies

Best for

Developers automating design-to-code property extraction

Teams building design audit or compliance tools

Automation workflows that need precise layer measurements

Requires

Figma API token with file read permissions

Figma file ID and layer/frame name or ID

Limitations

Property queries return static snapshots — no real-time updates when Figma file changes

Complex computed properties (e.g., effective fill color with opacity) require client-side calculation

No support for querying animation or interaction properties

What makes it unique

Provides direct property access to Figma layers via MCP tools, allowing LLM agents to query specific design properties without parsing raw API responses or manually navigating the Figma UI

vs alternatives

More efficient than exporting design specs manually because it enables programmatic property queries, supporting automation workflows that would otherwise require human inspection

mcp tool registration and schema-based function calling

Medium confidence

Registers Figma API operations as MCP tools with JSON schema definitions, enabling Claude and other MCP clients to discover and invoke Figma operations through standardized function calling. Implements schema validation and parameter marshaling to translate MCP tool calls into Figma API requests, with error handling and response transformation.

Solves for

I want Claude to help me explore and query my Figma files without writing API codeI need to build an agent that can autonomously extract design information from FigmaI want to integrate Figma queries into a larger LLM-based workflow or automation

Best for

LLM application developers building design-aware agents

Teams using Claude or other MCP clients to automate design workflows

Developers building multi-tool orchestration systems

Requires

MCP-compatible client (Claude, custom MCP client, etc.)

Figma API token

Node.js runtime for MCP server

Limitations

Tool discovery and invocation depends on MCP client support — not all LLM clients support MCP

Schema validation adds latency to each tool call (typically <50ms)

Error messages from Figma API are passed through without normalization — may be cryptic

What makes it unique

Exposes Figma operations as MCP tools with full schema validation, enabling LLM clients to discover and invoke Figma queries through standard function calling without custom API wrappers or authentication handling

vs alternatives

More discoverable than raw Figma API because MCP schema definitions enable LLM clients to understand available operations and parameters, supporting autonomous agent workflows

figma api authentication and token management

Medium confidence

Handles Figma API authentication via personal access tokens or OAuth, managing token lifecycle and API request signing. Implements token validation and error handling for authentication failures, enabling secure access to Figma resources without exposing credentials in client code.

Solves for

I need to securely authenticate with Figma API without hardcoding credentialsI want to validate that my Figma token is valid before running automated workflowsI need to handle authentication errors gracefully in my automation

Best for

Teams deploying Figma MCP server in production environments

Developers building secure design automation workflows

Organizations with credential management requirements

Requires

Figma personal access token or OAuth credentials

Environment variable configuration (FIGMA_TOKEN or similar)

Limitations

Only supports personal access tokens and OAuth — no service account authentication

Token validation requires a live API call — no offline validation

No built-in token refresh or rotation — requires manual token updates

What makes it unique

Abstracts Figma API authentication into MCP server initialization, allowing clients to invoke Figma tools without managing credentials directly, improving security posture for multi-user deployments

vs alternatives

Simpler than building custom authentication layers because it handles token validation and request signing transparently, reducing security surface area

batch file and resource querying with pagination support

Medium confidence

Supports querying multiple Figma files or resources in a single operation with pagination handling for large result sets. Implements batching logic to reduce API calls and pagination to handle Figma API limits, enabling efficient bulk operations without manual pagination handling.

Solves for

I need to extract data from multiple Figma files in a single workflowI want to query a large number of components or layers without hitting API rate limitsI need to process design data in batches for performance optimization

Best for

Teams managing multiple design files or design systems

Developers building large-scale design data extraction pipelines

Automation workflows that process hundreds of design assets

Requires

Figma API token

Multiple Figma file IDs or resource identifiers

Limitations

Batch operations are limited by Figma API rate limits (typically 120 requests per minute)

Pagination is handled transparently but may add latency for large result sets

No built-in parallelization — batch queries are sequential

What makes it unique

Implements transparent pagination and batching for Figma API queries, allowing clients to request large datasets without manual pagination handling or rate limit management

vs alternatives

More efficient than sequential API calls because it batches requests and handles pagination automatically, reducing latency and API call overhead

error handling and api response normalization

Medium confidence

Normalizes Figma API responses and errors into consistent formats, translating API-specific error codes into human-readable messages. Implements retry logic for transient failures and graceful degradation for partial failures, enabling robust automation workflows that handle API instability.

Solves for

I need my automation to handle Figma API errors gracefully without crashingI want clear error messages when Figma API calls failI need to retry failed requests automatically without manual intervention

Best for

Teams running production design automation workflows

Developers building resilient design integration systems

Automation that needs to handle transient API failures

Requires

Figma API token

Network connectivity to Figma API

Limitations

Retry logic uses exponential backoff with fixed maximum retries — not configurable

Error messages are normalized but may lose API-specific debugging information

Partial failures in batch operations are not granular — entire batch may fail

What makes it unique

Provides automatic retry logic and error normalization for Figma API calls, enabling automation workflows to recover from transient failures without explicit error handling code

vs alternatives

More robust than raw API calls because it implements exponential backoff and error normalization, reducing automation failures due to temporary API issues

design file metadata and version tracking

Medium confidence

Retrieves metadata about Figma files including creation date, last modified date, owner, collaborators, and version history. Enables tracking of design file changes and ownership without manual inspection, supporting audit trails and change detection workflows.

Solves for

I need to track when design files were last updated to ensure design-to-code sync is currentI want to identify the owner of a design file for collaboration or approval workflowsI need to detect changes to design files to trigger automated design-to-code pipelines

Best for

Teams automating design-to-code pipelines with change detection

Organizations tracking design file ownership and collaboration

Design systems teams monitoring file update frequency

Requires

Figma API token with read access

Valid Figma file ID

Limitations

Version history is limited to recent versions; full historical audit trail requires Figma's version history API which has pagination limits

Collaborator list includes only current collaborators; historical contributor tracking is not available

No real-time change notifications; requires polling to detect updates

What makes it unique

Exposes Figma file metadata and version history as queryable properties via MCP, enabling agents to reason about file freshness and ownership without manual inspection; supports change detection workflows.

vs alternatives

More accessible than Figma's REST API for metadata queries because it abstracts response parsing; enables agents to understand file provenance and recency without requiring developers to write custom metadata extraction logic.

image and asset export from design frames

Medium confidence

Exports images and assets from Figma frames and components by generating export URLs via the Figma API and optionally downloading exported assets. Supports multiple export formats (PNG, SVG, PDF) and scales, enabling design-to-asset pipelines without manual export from Figma UI.

Solves for

I need to export component previews as images for documentation generationI want to extract SVG assets from Figma components for use in codeI need to generate responsive image assets at multiple scales for web deployment

Best for

Design-to-code tool builders automating asset export

Teams generating design documentation with component previews

Organizations automating design asset pipelines

Requires

Figma API token with read access

Valid Figma file ID and frame/component IDs

Optional: local storage for downloaded assets

Limitations

Export URLs are temporary (expire after ~24 hours); requires immediate download or caching

SVG export from Figma may include Figma-specific metadata; post-processing may be required for production use

Large exports (high-resolution images, complex SVGs) can be slow; no streaming or chunked download support

What makes it unique

Enables programmatic export of Figma assets via MCP, allowing agents to generate design previews and extract SVG assets without manual Figma UI interaction; supports multiple formats and scales for flexible asset pipelines.

vs alternatives

More flexible than Figma's native export because it supports programmatic export at scale; more accessible than building custom export logic because authentication and URL generation are abstracted.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Related Artifactssharing capabilities

Artifacts that share capabilities with Figma MCP Server, ranked by overlap. Discovered automatically through the match graph.

MCP Server27

figma-mcp-server

A comprehensive local MCP server for Figma. Connect Figma with the Gemini CLI, Cursor, and Claude Desktop.

figma document tree traversal and introspectiondesign token extraction and standardizationcomponent variant enumeration and property extraction

3 shared capabilities

MCP Server27

figma-mcp

ModelContextProtocol for Figma's REST API

figma document tree traversal and introspectiondesign token extraction and structured exportfigma file and page enumeration with metadata

3 shared capabilities

MCP Server20

@iflow-mcp/figma-mcp

ModelContextProtocol server for Figma

component and design token extractionfigma document introspection via mcp protocoldesign file querying with layer filtering and search

3 shared capabilities

MCP Server35

Figma-Context-MCP

MCP server to provide Figma layout information to AI coding agents like Cursor

design data simplification and metadata filteringfigma design data extraction with css translationcomponent hierarchy and property extraction

3 shared capabilities

MCP Server28

figma-mcp

ModelContextProtocol server for Figma

figma document tree traversal and introspection via mcpdesign token extraction and synchronizationcomponent instance analysis and dependency mapping

3 shared capabilities

Extension40

CodeParrot AI: Figma to Code || Design To Code Copilot

Code Parrot converts Design to code. Get production ready UI components from Figma files or Images. Supports React, Flutter, HTML and more. Ship stunning UI lightning Fast.

design system token extraction and code generationfigma design-to-react code generation

2 shared capabilities

Best For

✓Design system teams automating design-to-code workflows
✓Developers building design asset extraction pipelines
✓Teams integrating Figma into CI/CD or documentation generation
✓Design system maintainers automating component documentation
✓Frontend teams generating component libraries from Figma
✓Design-to-code automation platforms
✓Design system teams maintaining token parity between Figma and code
✓Teams automating design token synchronization workflows

Known Limitations

⚠Requires valid Figma API token with file read permissions
⚠Large files (1000+ layers) may incur API rate limiting
⚠Tree traversal is synchronous and may block on deeply nested structures
⚠No caching layer — each query hits the Figma API directly
⚠Component metadata is only available for published components in team libraries
⚠Variant property schemas may not fully capture all design intent (e.g., custom logic)

Requirements

Figma API token (personal or OAuth)Figma file ID (accessible from file URL)Network connectivity to Figma API endpointsFigma API token with team library accessPublished components in a Figma team libraryFigma Professional or higher plan for advanced component featuresFigma API tokenDesign tokens defined in Figma (via naming convention or Tokens plugin)

Input / Output

Accepts: Figma file ID (string), optional: page ID or frame ID for scoped queries, Team ID or file ID (string), optional: component name or ID filter, optional: token category filter (colors, typography, spacing), layer name or ID (string), optional: property filter (dimensions, colors, text, etc.), MCP tool call with JSON parameters, schema-validated function arguments, Figma API token (string), array of Figma file IDs or resource identifiers, optional: pagination parameters (limit, offset), Figma API responses (success or error), file_id (string), node_ids (array of frame/component IDs), format (png, svg, pdf), optional: scale (1, 2, 3, etc.)

Produces: JSON tree structure with node metadata, nested object hierarchy with layer properties, JSON array of component definitions, variant configuration objects, property schema definitions, JSON object with token names and values, CSS variable declarations, design token JSON format (compatible with Style Dictionary), JSON object with layer properties, numeric values for dimensions and positioning, color values in multiple formats (hex, RGB, HSL), JSON response from Figma API, structured tool result for MCP client, authentication status (valid/invalid), error messages for failed authentication, JSON array of results, pagination metadata (total count, next page token), normalized response object, human-readable error messages, retry status and metadata, JSON object with file metadata (created, modified, owner, collaborators), Version history array with timestamps and version IDs, Export URLs (temporary, expire in ~24 hours), Downloaded asset files (PNG, SVG, PDF), Base64-encoded image data

UnfragileRank

Adoption70%(25% weight)

Quality90%(25% weight)

Ecosystem52%(15% weight)

Match Graph25%(30% weight)

Freshness100%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: MCP Server

10 capabilities

Visit Figma MCP Server→

About

Community MCP server for Figma design platform integration. Provides tools for reading file structures, extracting component data, accessing design tokens, and querying frame and layer properties.

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Capabilities10 decomposed

figma file structure introspection and document tree traversal

Medium confidence

Solves for

Best for

Design system teams automating design-to-code workflows

Developers building design asset extraction pipelines

Teams integrating Figma into CI/CD or documentation generation

Requires

Figma API token (personal or OAuth)

Figma file ID (accessible from file URL)

Network connectivity to Figma API endpoints

Limitations

Requires valid Figma API token with file read permissions

Large files (1000+ layers) may incur API rate limiting

Tree traversal is synchronous and may block on deeply nested structures

What makes it unique

vs alternatives

Simpler than building custom Figma API clients because it abstracts authentication, pagination, and tree traversal into standard MCP tool calls that work with any MCP-compatible client

component metadata extraction and library introspection

Medium confidence

Solves for

Best for

Design system maintainers automating component documentation

Frontend teams generating component libraries from Figma

Design-to-code automation platforms

Requires

Figma API token with team library access

Published components in a Figma team library

Figma Professional or higher plan for advanced component features

Limitations

Component metadata is only available for published components in team libraries

Variant property schemas may not fully capture all design intent (e.g., custom logic)

No support for querying component usage across files

What makes it unique

vs alternatives

More complete than manual component audits because it programmatically discovers all variants and properties, reducing human error and enabling real-time sync with design system changes

design token extraction and semantic value mapping

Medium confidence

Solves for

Best for

Design system teams maintaining token parity between Figma and code

Teams automating design token synchronization workflows

Developers building design token documentation generators

Requires

Figma API token

Design tokens defined in Figma (via naming convention or Tokens plugin)

Optional: Figma Tokens plugin for structured token format

Limitations

Token extraction depends on consistent naming conventions or Figma Tokens plugin format

No built-in support for token aliasing or computed values

Token values are extracted as static snapshots — no real-time sync

What makes it unique

vs alternatives

More flexible than Figma Tokens plugin alone because it can extract tokens from custom naming conventions and export to multiple formats, supporting teams with existing token infrastructure

frame and layer property querying with filtered selection

Medium confidence

Solves for

Best for

Developers automating design-to-code property extraction

Teams building design audit or compliance tools

Automation workflows that need precise layer measurements

Requires

Figma API token with file read permissions

Figma file ID and layer/frame name or ID

Limitations

Property queries return static snapshots — no real-time updates when Figma file changes

Complex computed properties (e.g., effective fill color with opacity) require client-side calculation

No support for querying animation or interaction properties

What makes it unique

Provides direct property access to Figma layers via MCP tools, allowing LLM agents to query specific design properties without parsing raw API responses or manually navigating the Figma UI

vs alternatives

More efficient than exporting design specs manually because it enables programmatic property queries, supporting automation workflows that would otherwise require human inspection

mcp tool registration and schema-based function calling

Medium confidence

Solves for

Best for

LLM application developers building design-aware agents

Teams using Claude or other MCP clients to automate design workflows

Developers building multi-tool orchestration systems

Requires

MCP-compatible client (Claude, custom MCP client, etc.)

Figma API token

Node.js runtime for MCP server

Limitations

Tool discovery and invocation depends on MCP client support — not all LLM clients support MCP

Schema validation adds latency to each tool call (typically <50ms)

Error messages from Figma API are passed through without normalization — may be cryptic

What makes it unique

vs alternatives

More discoverable than raw Figma API because MCP schema definitions enable LLM clients to understand available operations and parameters, supporting autonomous agent workflows

figma api authentication and token management

Medium confidence

Solves for

Best for

Teams deploying Figma MCP server in production environments

Developers building secure design automation workflows

Organizations with credential management requirements

Requires

Figma personal access token or OAuth credentials

Environment variable configuration (FIGMA_TOKEN or similar)

Limitations

Only supports personal access tokens and OAuth — no service account authentication

Token validation requires a live API call — no offline validation

No built-in token refresh or rotation — requires manual token updates

What makes it unique

Abstracts Figma API authentication into MCP server initialization, allowing clients to invoke Figma tools without managing credentials directly, improving security posture for multi-user deployments

vs alternatives

Simpler than building custom authentication layers because it handles token validation and request signing transparently, reducing security surface area

batch file and resource querying with pagination support

Medium confidence

Solves for

Best for

Teams managing multiple design files or design systems

Developers building large-scale design data extraction pipelines

Automation workflows that process hundreds of design assets

Requires

Figma API token

Multiple Figma file IDs or resource identifiers

Limitations

Batch operations are limited by Figma API rate limits (typically 120 requests per minute)

Pagination is handled transparently but may add latency for large result sets

No built-in parallelization — batch queries are sequential

What makes it unique

Implements transparent pagination and batching for Figma API queries, allowing clients to request large datasets without manual pagination handling or rate limit management

vs alternatives

More efficient than sequential API calls because it batches requests and handles pagination automatically, reducing latency and API call overhead

error handling and api response normalization

Medium confidence

Solves for

Best for

Teams running production design automation workflows

Developers building resilient design integration systems

Automation that needs to handle transient API failures

Requires

Figma API token

Network connectivity to Figma API

Limitations

Retry logic uses exponential backoff with fixed maximum retries — not configurable

Error messages are normalized but may lose API-specific debugging information

Partial failures in batch operations are not granular — entire batch may fail

What makes it unique

Provides automatic retry logic and error normalization for Figma API calls, enabling automation workflows to recover from transient failures without explicit error handling code

vs alternatives

More robust than raw API calls because it implements exponential backoff and error normalization, reducing automation failures due to temporary API issues

design file metadata and version tracking

Medium confidence

Solves for

Best for

Teams automating design-to-code pipelines with change detection

Organizations tracking design file ownership and collaboration

Design systems teams monitoring file update frequency

Requires

Figma API token with read access

Valid Figma file ID

Limitations

Version history is limited to recent versions; full historical audit trail requires Figma's version history API which has pagination limits

Collaborator list includes only current collaborators; historical contributor tracking is not available

No real-time change notifications; requires polling to detect updates

What makes it unique

vs alternatives

image and asset export from design frames

Medium confidence

Solves for

Best for

Design-to-code tool builders automating asset export

Teams generating design documentation with component previews

Organizations automating design asset pipelines

Requires

Figma API token with read access

Valid Figma file ID and frame/component IDs

Optional: local storage for downloaded assets

Limitations

Export URLs are temporary (expire after ~24 hours); requires immediate download or caching

SVG export from Figma may include Figma-specific metadata; post-processing may be required for production use

Large exports (high-resolution images, complex SVGs) can be slow; no streaming or chunked download support

What makes it unique

vs alternatives

More flexible than Figma's native export because it supports programmatic export at scale; more accessible than building custom export logic because authentication and URL generation are abstracted.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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Figma MCP Server

Capabilities10 decomposed

figma file structure introspection and document tree traversal

component metadata extraction and library introspection

design token extraction and semantic value mapping

frame and layer property querying with filtered selection

mcp tool registration and schema-based function calling

figma api authentication and token management

batch file and resource querying with pagination support

error handling and api response normalization

design file metadata and version tracking

image and asset export from design frames

Related Artifactssharing capabilities

figma-mcp-server

figma-mcp

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Figma-Context-MCP

figma-mcp

CodeParrot AI: Figma to Code || Design To Code Copilot

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Alternatives to Figma MCP Server

Are you the builder of Figma MCP Server?

Get the weekly brief

Data Sources

Figma MCP Server

Capabilities10 decomposed

figma file structure introspection and document tree traversal

component metadata extraction and library introspection

design token extraction and semantic value mapping

frame and layer property querying with filtered selection

mcp tool registration and schema-based function calling

figma api authentication and token management

batch file and resource querying with pagination support

error handling and api response normalization

design file metadata and version tracking

image and asset export from design frames

Related Artifactssharing capabilities

figma-mcp-server

figma-mcp

@iflow-mcp/figma-mcp

Figma-Context-MCP

figma-mcp

CodeParrot AI: Figma to Code || Design To Code Copilot

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Alternatives to Figma MCP Server

Are you the builder of Figma MCP Server?

Get the weekly brief

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