What can Figma MCP Server do?

figma file structure introspection and traversal, component metadata extraction and querying, design token extraction and standardization, frame and layer property querying, mcp tool registration and schema binding, figma api authentication and token management, figma api error handling and resilience, multi-file figma project querying, design file metadata and version tracking, image and asset export from design frames

Figma MCP Server

MCP ServerFree

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

Open Source

/ 100

10 capabilities

Capabilities10 decomposed

figma file structure introspection and traversal

Medium confidence

Reads and traverses Figma file hierarchies via the Figma REST API, exposing nested page, frame, component, and layer structures as queryable objects. Implements recursive tree traversal to map design document organization, enabling programmatic access to the complete design system hierarchy without manual file parsing.

Solves for

I need to programmatically understand the structure of a Figma file to automate design handoffI want to query all pages and frames in a design file to generate documentationI need to traverse layer hierarchies to extract metadata about component organization

Best for

Design systems teams automating documentation generation

Developers building design-to-code pipelines

Teams integrating Figma with CI/CD workflows

Requires

Figma API token with read access

Valid Figma file ID

Network connectivity to Figma API endpoints

Limitations

Requires valid Figma file ID and API access token; no built-in caching of file structures, so repeated queries incur API rate limits

Traversal depth limited by Figma API response payload size; very large files (10k+ layers) may require pagination

Read-only access to structure; cannot modify hierarchy via this capability

What makes it unique

Exposes Figma's hierarchical file structure as an MCP tool, allowing LLM agents to reason about design organization without requiring developers to write custom Figma API clients; integrates directly with Claude and other MCP-compatible tools.

vs alternatives

Simpler than building custom Figma API wrappers because it abstracts authentication and pagination; more accessible than raw Figma REST API because it's designed for agent-based querying rather than direct HTTP calls.

component metadata extraction and querying

Medium confidence

Extracts component definitions, variants, and properties from Figma files by querying the Figma API's component endpoints. Returns structured metadata including component names, variant configurations, property definitions, and documentation links, enabling design system introspection without manual inspection.

Solves for

I need to extract all component variants from a Figma library to generate a component inventoryI want to query component properties and constraints to inform code generationI need to map Figma components to code components for design-to-code automation

Best for

Design system maintainers automating component documentation

Frontend teams building component libraries aligned with Figma

Design-to-code tool builders needing component metadata

Requires

Figma API token with read access to component libraries

Figma file with published components or shared library access

Limitations

Only returns metadata for components explicitly marked as components in Figma; local components not shared to team libraries are not discoverable

Variant metadata is limited to Figma's variant API schema; custom properties stored in component descriptions require manual parsing

No real-time change detection; requires polling or webhook integration for live updates

What makes it unique

Provides structured component metadata queries via MCP, allowing agents to reason about component variants and properties without parsing Figma's REST API responses directly; includes variant flattening to expose all variant combinations as queryable entities.

vs alternatives

More accessible than Figma's raw REST API for component queries because it abstracts pagination and variant expansion; enables LLM agents to understand component structure without requiring developers to write custom parsing logic.

design token extraction and standardization

Medium confidence

Extracts design tokens (colors, typography, spacing, shadows) from Figma files by parsing color styles, text styles, and effect styles via the Figma API. Converts Figma's native style definitions into standardized token formats (JSON, CSS variables, or design token schema), enabling design-to-code token synchronization.

Solves for

I need to export design tokens from Figma to sync with my code's design systemI want to generate CSS custom properties from Figma color and typography stylesI need to create a design token JSON file for consumption by design tools and code generators

Best for

Design systems teams maintaining token parity between Figma and code

Frontend developers automating style synchronization

Teams using design token platforms (Tokens Studio, Specify, etc.)

Requires

Figma API token with read access

Figma file with defined color, text, and effect styles

Limitations

Only extracts styles explicitly defined in Figma's Styles panel; ad-hoc colors and typography applied directly to objects are not captured

Token naming and hierarchy depend on Figma's style naming conventions; inconsistent naming requires post-processing

Complex token transformations (e.g., semantic token mapping) require custom logic; this capability provides raw extraction only

What makes it unique

Extracts Figma styles as queryable design tokens via MCP, enabling agents to reason about design system consistency and generate token files without manual export; supports multiple output formats for compatibility with design token platforms.

vs alternatives

More flexible than Figma's native export because it supports multiple output formats and can be integrated into automated pipelines; more accessible than building custom Figma API clients because authentication and style parsing are abstracted.

frame and layer property querying

Medium confidence

Queries detailed properties of frames and layers in Figma files, including dimensions, positioning, constraints, fill colors, strokes, effects, and text content. Implements property flattening to expose nested layer properties as queryable attributes, enabling design inspection and measurement extraction without manual Figma inspection.

Solves for

I need to extract dimensions and positioning of all frames to generate responsive layout codeI want to query text content and typography properties from design frames for content extractionI need to measure spacing and alignment properties to validate design consistency

Best for

Design-to-code tool builders extracting layout and styling information

Teams automating design measurement and validation

Developers building design inspection tools

Requires

Figma API token with read access

Valid Figma file ID and layer/frame IDs

Limitations

Only returns properties for layers explicitly queried; no bulk property extraction across entire files without iterating layers

Computed properties (e.g., effective color after applying opacity) require client-side calculation; API returns raw values only

Prototype interactions and animation properties are not included; this capability focuses on static design properties

What makes it unique

Provides queryable layer and frame properties via MCP, allowing agents to extract design measurements and styling without parsing Figma's REST API responses; includes property flattening to expose nested attributes as top-level queryable fields.

vs alternatives

More accessible than Figma's REST API for property queries because it abstracts response parsing and property flattening; enables agents to reason about design measurements without requiring developers to write custom property extraction logic.

mcp tool registration and schema binding

Medium confidence

Registers Figma query capabilities as MCP tools with standardized JSON schemas, enabling Claude and other MCP-compatible clients to discover and invoke Figma operations through a unified tool interface. Implements schema validation to ensure tool inputs conform to expected types and constraints before API calls.

Solves for

I want Claude to be able to query Figma files directly without me writing custom API codeI need to expose Figma operations as callable tools in an agentic workflowI want to integrate Figma data access into a multi-tool agent that also uses other MCP servers

Best for

Developers building Claude-powered design automation agents

Teams integrating Figma with multi-tool LLM workflows

Organizations standardizing on MCP for tool integration

Requires

MCP-compatible client (Claude, or other MCP-supporting LLM)

Figma MCP server running and accessible to the client

Figma API token configured in server environment

Limitations

Tool invocation latency includes Figma API round-trip time (typically 200-500ms); no local caching of responses

Schema validation is strict; malformed tool inputs are rejected before API calls, requiring agent retry logic

Tool discovery and invocation depend on MCP client implementation; not all MCP clients support dynamic tool registration

What makes it unique

Implements MCP tool registration for Figma operations, allowing Claude and other MCP clients to invoke Figma queries as first-class tools without custom integration code; includes schema validation to ensure type safety and prevent malformed API calls.

vs alternatives

Simpler than building custom Claude plugins because it uses the standardized MCP protocol; more flexible than Figma's native integrations because it enables arbitrary agent-driven queries rather than pre-defined workflows.

figma api authentication and token management

Medium confidence

Manages Figma API authentication by accepting and validating API tokens, implementing token refresh logic if needed, and handling authentication errors gracefully. Stores tokens securely in the MCP server environment and injects them into all Figma API requests, abstracting authentication complexity from tool consumers.

Solves for

I need to securely configure Figma API access for the MCP server without hardcoding tokensI want the server to handle authentication errors and retry failed requestsI need to rotate or update Figma API tokens without restarting the server

Best for

Teams deploying Figma MCP servers in production environments

Developers integrating Figma with multi-tenant applications

Organizations with strict API key management policies

Requires

Valid Figma API token (personal access token or OAuth token)

Environment variable or configuration file for token storage

Limitations

Token storage depends on MCP server deployment environment; no built-in encryption or secrets management (relies on OS-level security)

No automatic token refresh; long-lived tokens must be manually rotated

Authentication errors are propagated to tool consumers; no automatic retry with exponential backoff

What makes it unique

Abstracts Figma API authentication at the MCP server level, allowing tool consumers to invoke Figma operations without managing tokens directly; implements centralized token injection into all API requests.

vs alternatives

Simpler than managing Figma authentication in client code because tokens are configured once at the server level; more secure than embedding tokens in client applications because tokens are stored server-side only.

figma api error handling and resilience

Medium confidence

Implements error handling for Figma API failures, including rate limiting, authentication errors, and network timeouts. Returns structured error responses with diagnostic information, enabling tool consumers to understand failure reasons and implement retry logic. Includes timeout configuration to prevent hanging requests.

Solves for

I need to understand why a Figma query failed so I can debug integration issuesI want the server to handle rate limiting gracefully without crashingI need to implement retry logic in my agent when Figma API calls fail

Best for

Teams running Figma MCP servers in production with high query volume

Developers building resilient design automation agents

Organizations with strict uptime requirements

Requires

Network connectivity to Figma API

Figma API token with appropriate permissions

Limitations

No automatic retry with exponential backoff; clients must implement retry logic

Rate limit information is returned but not proactively managed; clients must respect rate limits

Timeout configuration is static; no dynamic adjustment based on API response times

What makes it unique

Provides structured error responses for Figma API failures, enabling tool consumers to implement intelligent retry logic and understand failure reasons; includes timeout configuration to prevent hanging requests.

vs alternatives

More informative than raw Figma API errors because it includes diagnostic context and retry guidance; more resilient than direct API calls because it abstracts error handling at the server level.

multi-file figma project querying

Medium confidence

Enables querying across multiple Figma files within a team or project by accepting file IDs and aggregating results from multiple API calls. Implements batching to reduce API overhead and supports filtering to limit results to specific files or projects, enabling design system-wide queries without manual file enumeration.

Solves for

I need to query components across all Figma files in my design system libraryI want to extract design tokens from multiple files and merge them into a single token fileI need to audit design consistency across all files in a Figma team

Best for

Design systems teams with distributed component libraries across multiple files

Organizations auditing design consistency across projects

Teams building design system dashboards

Requires

Figma API token with read access to multiple files

List of Figma file IDs to query

Limitations

Requires explicit file ID list; no automatic discovery of all team files (would require additional Figma API permissions)

Batching adds latency proportional to number of files; querying 50+ files may take several seconds

Result aggregation requires client-side deduplication if files share components

What makes it unique

Supports querying across multiple Figma files via a single MCP tool call, enabling agents to reason about design systems without manual file enumeration; implements batching to reduce API overhead.

vs alternatives

More efficient than making separate API calls per file because it batches requests and aggregates results; more accessible than building custom multi-file query logic because it abstracts file enumeration and result merging.

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 Server21

@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 Server31

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 Server41

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

design token extraction and synchronizationfigma document tree traversal and introspection via mcp

2 shared capabilities

Product38

TeleportHQ

AI front-end generator from prompts or Figma imports.

design-system-token-extraction-and-css-variable-generationfigma-design-to-code-transpilation

2 shared capabilities

Best For

✓Design systems teams automating documentation generation
✓Developers building design-to-code pipelines
✓Teams integrating Figma with CI/CD workflows
✓Design system maintainers automating component documentation
✓Frontend teams building component libraries aligned with Figma
✓Design-to-code tool builders needing component metadata
✓Design systems teams maintaining token parity between Figma and code
✓Frontend developers automating style synchronization

Known Limitations

⚠Requires valid Figma file ID and API access token; no built-in caching of file structures, so repeated queries incur API rate limits
⚠Traversal depth limited by Figma API response payload size; very large files (10k+ layers) may require pagination
⚠Read-only access to structure; cannot modify hierarchy via this capability
⚠Only returns metadata for components explicitly marked as components in Figma; local components not shared to team libraries are not discoverable
⚠Variant metadata is limited to Figma's variant API schema; custom properties stored in component descriptions require manual parsing
⚠No real-time change detection; requires polling or webhook integration for live updates

Requirements

Figma API token with read accessValid Figma file IDNetwork connectivity to Figma API endpointsFigma API token with read access to component librariesFigma file with published components or shared library accessFigma file with defined color, text, and effect stylesValid Figma file ID and layer/frame IDsMCP-compatible client (Claude, or other MCP-supporting LLM)

Input / Output

Accepts: file_id (string), optional: page_id (string) to limit traversal scope, optional: component_set_id (string) to filter specific component families, optional: style_type filter (colors, typography, effects), layer_id or frame_id (string), optional: property_filter (array of specific properties to query), Tool invocation requests from MCP client (JSON with tool name and parameters), Figma API token (string), Figma API request (internal), file_ids (array of strings), optional: query_type (components, tokens, layers), node_ids (array of frame/component IDs), format (png, svg, pdf), optional: scale (1, 2, 3, etc.)

Produces: JSON tree structure with node metadata, Flattened layer list with parent references, JSON array of component objects with variant definitions, Component property schemas (type, default value, constraints), JSON token object with hierarchical structure, CSS custom properties (--token-name: value), Design token schema (W3C format), JSON object with layer properties (width, height, x, y, fills, strokes, effects, text content), Flattened property list for direct consumption, Tool result JSON with Figma API response data, Error messages with diagnostic information, Authentication status (success/failure), Structured error response with error code, message, and retry information, HTTP status codes and diagnostic details, Aggregated JSON results from all files, Deduplicated component or token lists, 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%(30% weight)

Quality23%(25% weight)

Ecosystem52%(25% weight)

Match Graph10%(15% 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 traversal

Medium confidence

Solves for

Best for

Design systems teams automating documentation generation

Developers building design-to-code pipelines

Teams integrating Figma with CI/CD workflows

Requires

Figma API token with read access

Valid Figma file ID

Network connectivity to Figma API endpoints

Limitations

Requires valid Figma file ID and API access token; no built-in caching of file structures, so repeated queries incur API rate limits

Traversal depth limited by Figma API response payload size; very large files (10k+ layers) may require pagination

Read-only access to structure; cannot modify hierarchy via this capability

What makes it unique

vs alternatives

component metadata extraction and querying

Medium confidence

Solves for

Best for

Design system maintainers automating component documentation

Frontend teams building component libraries aligned with Figma

Design-to-code tool builders needing component metadata

Requires

Figma API token with read access to component libraries

Figma file with published components or shared library access

Limitations

Only returns metadata for components explicitly marked as components in Figma; local components not shared to team libraries are not discoverable

Variant metadata is limited to Figma's variant API schema; custom properties stored in component descriptions require manual parsing

No real-time change detection; requires polling or webhook integration for live updates

What makes it unique

vs alternatives

design token extraction and standardization

Medium confidence

Solves for

Best for

Design systems teams maintaining token parity between Figma and code

Frontend developers automating style synchronization

Teams using design token platforms (Tokens Studio, Specify, etc.)

Requires

Figma API token with read access

Figma file with defined color, text, and effect styles

Limitations

Only extracts styles explicitly defined in Figma's Styles panel; ad-hoc colors and typography applied directly to objects are not captured

Token naming and hierarchy depend on Figma's style naming conventions; inconsistent naming requires post-processing

Complex token transformations (e.g., semantic token mapping) require custom logic; this capability provides raw extraction only

What makes it unique

vs alternatives

frame and layer property querying

Medium confidence

Solves for

Best for

Design-to-code tool builders extracting layout and styling information

Teams automating design measurement and validation

Developers building design inspection tools

Requires

Figma API token with read access

Valid Figma file ID and layer/frame IDs

Limitations

Only returns properties for layers explicitly queried; no bulk property extraction across entire files without iterating layers

Computed properties (e.g., effective color after applying opacity) require client-side calculation; API returns raw values only

Prototype interactions and animation properties are not included; this capability focuses on static design properties

What makes it unique

vs alternatives

mcp tool registration and schema binding

Medium confidence

Solves for

Best for

Developers building Claude-powered design automation agents

Teams integrating Figma with multi-tool LLM workflows

Organizations standardizing on MCP for tool integration

Requires

MCP-compatible client (Claude, or other MCP-supporting LLM)

Figma MCP server running and accessible to the client

Figma API token configured in server environment

Limitations

Tool invocation latency includes Figma API round-trip time (typically 200-500ms); no local caching of responses

Schema validation is strict; malformed tool inputs are rejected before API calls, requiring agent retry logic

Tool discovery and invocation depend on MCP client implementation; not all MCP clients support dynamic tool registration

What makes it unique

vs alternatives

figma api authentication and token management

Medium confidence

Solves for

Best for

Teams deploying Figma MCP servers in production environments

Developers integrating Figma with multi-tenant applications

Organizations with strict API key management policies

Requires

Valid Figma API token (personal access token or OAuth token)

Environment variable or configuration file for token storage

Limitations

Token storage depends on MCP server deployment environment; no built-in encryption or secrets management (relies on OS-level security)

No automatic token refresh; long-lived tokens must be manually rotated

Authentication errors are propagated to tool consumers; no automatic retry with exponential backoff

What makes it unique

vs alternatives

figma api error handling and resilience

Medium confidence

Solves for

Best for

Teams running Figma MCP servers in production with high query volume

Developers building resilient design automation agents

Organizations with strict uptime requirements

Requires

Network connectivity to Figma API

Figma API token with appropriate permissions

Limitations

No automatic retry with exponential backoff; clients must implement retry logic

Rate limit information is returned but not proactively managed; clients must respect rate limits

Timeout configuration is static; no dynamic adjustment based on API response times

What makes it unique

vs alternatives

More informative than raw Figma API errors because it includes diagnostic context and retry guidance; more resilient than direct API calls because it abstracts error handling at the server level.

multi-file figma project querying

Medium confidence

Solves for

Best for

Design systems teams with distributed component libraries across multiple files

Organizations auditing design consistency across projects

Teams building design system dashboards

Requires

Figma API token with read access to multiple files

List of Figma file IDs to query

Limitations

Requires explicit file ID list; no automatic discovery of all team files (would require additional Figma API permissions)

Batching adds latency proportional to number of files; querying 50+ files may take several seconds

Result aggregation requires client-side deduplication if files share components

What makes it unique

Supports querying across multiple Figma files via a single MCP tool call, enabling agents to reason about design systems without manual file enumeration; implements batching to reduce API overhead.

vs alternatives

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 traversal

component metadata extraction and querying

design token extraction and standardization

frame and layer property querying

mcp tool registration and schema binding

figma api authentication and token management

figma api error handling and resilience

multi-file figma project querying

design file metadata and version tracking

image and asset export from design frames

Related Artifactssharing capabilities

@iflow-mcp/figma-mcp

figma-mcp-server

figma-mcp

Figma-Context-MCP

figma-mcp

TeleportHQ

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 traversal

component metadata extraction and querying

design token extraction and standardization

frame and layer property querying

mcp tool registration and schema binding

figma api authentication and token management

figma api error handling and resilience

multi-file figma project querying

design file metadata and version tracking

image and asset export from design frames

Related Artifactssharing capabilities

@iflow-mcp/figma-mcp

figma-mcp-server

figma-mcp

Figma-Context-MCP

figma-mcp

TeleportHQ

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