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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
FIGMA_TOKENYesYour Figma access token (starts with 'figd_')

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
get_figma_imageC

根据Figma URL获取节点的图片

get_figma_stylesC

根据Figma URL获取节点的样式数据

export_multiple_imagesC

批量导出多个节点的图片

get_file_infoC

获取Figma文件的基本信息

get_node_imagesC

获取节点中的所有图片资源

get_node_svgC

获取节点的SVG数据

extract_node_elementsC

提取节点中的所有设计元素(图片、矢量、组件)

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.2/5.0

Scored across 7 tools

Disambiguation4/5

Most tools have distinct purposes, but there is some overlap between 'export_multiple_images' and 'get_node_images' that could cause confusion. The descriptions help differentiate them, but the boundaries are not perfectly clear.

Naming Consistency4/5

The naming follows a consistent verb_noun pattern with minor deviations, such as 'export_multiple_images' using an adjective. Overall, the pattern is readable and predictable across the tool set.

Tool Count5/5

With 7 tools, the count is well-scoped for a Figma integration server. Each tool appears to serve a specific purpose related to extracting or retrieving design assets and data.

Completeness4/5

The tool set covers key operations for accessing Figma assets and styles, but there are minor gaps such as updating or modifying nodes. Agents can likely work around these limitations for most common workflows.

Maintenance

ActivityInactive
ResponsivenessNo issues