Using with AI
Spectrum Design Data publishes Model Context Protocol (MCP) servers and Agent Skills so AI assistants can query design tokens, component schemas, and Spectrum 2 documentation directly from tools like Claude Code and Cursor.
Every integration comes in two forms: a lightweight Agent Skill (recommended for prototyping) and an always-on MCP server. The sections below are grouped by what you want to do — design tokens & schemas, or Spectrum 2 docs.
Which tool do I need?
| Goal | Use this |
|---|---|
| Prototype with Spectrum tokens, zero setup | design-data skill |
| Validate, diff, or author tokens on a custom dataset | design-data-agent skill |
| Look up S2 component docs and guidelines | s2-docs skill |
| Always-on access or agent pipelines | The matching MCP server for any of the above |
Skill vs MCP — how to choose
The same capability is available as a skill or an MCP server. They differ only in how they load:
| Agent Skill | MCP Server | |
|---|---|---|
| Context cost | Description only (~200 chars) until invoked | All tool schemas loaded every session |
| Best for | Prototyping, on-demand lookups | Always-available access, agent pipelines |
| Triggers | Automatically on intent, or invoked directly | Called by the AI as a tool whenever needed |
| Setup | /plugin install or Cursor remote rule |
Add to mcp.json, restart editor |
Both can run together. The skill is a lightweight companion; the MCP is the full integration.
Design tokens & component schemas
Look up token values, query by component/property, suggest tokens from natural language, read component schemas, and (for custom datasets) validate, diff, and author tokens. All of these shell out to the @adobe/design-data CLI — only the skill description loads into session context until invoked.
Pick based on your dataset:
- Spectrum tokens, zero config →
design-dataskill (or@adobe/design-data-mcp). Uses the embedded Spectrum snapshot — no paths required. - Custom dataset on disk, with validate/diff/write →
design-data-agentskill (or@adobe/design-data-agent-mcp). Tool names match the agent surface spec.
design-data skill — Spectrum tokens (zero config)
Look up token values, query by component/property, suggest tokens from natural language, and read component schemas. Uses the embedded Spectrum snapshot automatically — no dataset paths required.
Claude Code:
/plugin marketplace add adobe/spectrum-design-data
/plugin install design-data@spectrum-design-data
Cursor — Settings → Rules → Add Rule → Remote Rule (GitHub):
https://github.com/adobe/spectrum-design-data/tree/main/tools/design-data-skill/skills/design-data
design-data-agent skill — spec / custom datasets
Validate, query, resolve, diff, and author tokens against a local dataset. Tool names match the agent surface spec. Requires DESIGN_DATA_PATH (and spec catalog paths for components/fields/dimensions).
Claude Code:
/plugin marketplace add adobe/spectrum-design-data
/plugin install design-data-agent@spectrum-design-data
Cursor — Settings → Rules → Add Rule → Remote Rule (GitHub):
https://github.com/adobe/spectrum-design-data/tree/main/tools/design-data-agent-mcp/skills/design-data
MCP servers
For always-available tool access (higher context cost than the skills above), add the matching MCP server to your editor.
@adobe/design-data-mcp
Spectrum design tokens and component schemas via the @adobe/design-data CLI. Zero-config embedded snapshot. Prefer the design-data skill for prototyping.
npm: @adobe/design-data-mcp
Tools: design-data-primer, design-data-query, design-data-suggest, design-data-component, design-data-resolve
Cursor config:
{
"mcpServers": {
"design-data": {
"command": "npx",
"args": ["-y", "@adobe/design-data-mcp"]
}
}
}
@adobe/design-data-agent-mcp
Spec-conformant agent surface for any local dataset. Tool names match the agent surface spec (primer, resolve_token, query_tokens, validate_usage, etc.). Prefer the design-data-agent skill for prototyping.
npm: @adobe/design-data-agent-mcp
Tools: primer, resolve_token, query_tokens, describe_component, validate_usage, diff_datasets, write, plus authoring-session tools
Cursor config:
{
"mcpServers": {
"design-data-agent": {
"command": "npx",
"args": ["-y", "@adobe/design-data-agent-mcp"],
"env": {
"DESIGN_DATA_PATH": "./packages/tokens/src",
"DESIGN_DATA_COMPONENTS": "./packages/design-data/components",
"DESIGN_DATA_FIELDS": "./packages/design-data/fields"
}
}
}
}
Adjust paths to match your dataset layout.
Legacy: @adobe/spectrum-design-data-mcp
Design tokens and component API schemas. Enables AI to look up token values, find tokens by use case, validate component props, and get schema definitions.
Prefer @adobe/design-data-mcp for new projects — it wraps the current @adobe/design-data CLI with an embedded Spectrum snapshot. This package is kept for existing integrations.
npm: @adobe/spectrum-design-data-mcp
Token tools: query-tokens, query-tokens-by-value, get-token-details, get-component-tokens
Schema tools: list-components, get-component-schema, validate-component-props, search-components-by-feature
Cursor config:
{
"mcpServers": {
"spectrum-design-data": {
"command": "npx",
"args": ["-y", "@adobe/spectrum-design-data-mcp"]
}
}
}
Spectrum 2 documentation
s2-docs skill (recommended for prototyping)
The s2-docs Agent Skill fetches S2 component docs on-demand — only when the AI is working on Spectrum components — without loading a persistent MCP server into every session. This keeps context lean during long prototype sessions.
The skill auto-triggers when you mention Spectrum, React Spectrum, Spectrum Web Components, or a component name. You can also invoke it directly with /s2-docs:s2-docs <component>.
Claude Code:
/plugin marketplace add adobe/spectrum-design-data
/plugin install s2-docs@spectrum-design-data
After install, start a new session and ask something like "which Spectrum component should I use for a searchable dropdown?" — the skill fetches the relevant docs automatically.
Cursor — Settings → Rules → Add Rule → Remote Rule (GitHub):
https://github.com/adobe/spectrum-design-data/tree/main/tools/s2-docs-mcp/skills/s2-docs
Then invoke the skill in an Agent session via /s2-docs get <component> or ask a Spectrum question naturally.
@adobe/s2-docs-mcp
Spectrum 2 component documentation and design guidelines. For prototyping, prefer the s2-docs skill above — it loads docs on-demand with less context overhead. Use this MCP when you want always-available access or are building agent pipelines.
npm: @adobe/s2-docs-mcp
Tools: list-s2-components, get-s2-component, search-s2-docs, get-s2-stats, find-s2-component-by-use-case
Cursor config:
{
"mcpServers": {
"s2-docs": {
"command": "npx",
"args": ["-y", "@adobe/s2-docs-mcp"]
}
}
}
If you run from source, point args to tools/s2-docs-mcp/src/cli.js inside your clone.
Cursor IDE setup
Add MCP servers to .cursor/mcp.json for always-available access. Skills (remote rules) are lighter for prototyping — see the sections above. Restart Cursor after changing MCP config.
Spectrum prototyping (tokens + S2 docs):
{
"mcpServers": {
"design-data": {
"command": "npx",
"args": ["-y", "@adobe/design-data-mcp"]
},
"s2-docs": {
"command": "npx",
"args": ["-y", "@adobe/s2-docs-mcp"]
}
}
}
Spec / custom dataset work:
{
"mcpServers": {
"design-data-agent": {
"command": "npx",
"args": ["-y", "@adobe/design-data-agent-mcp"],
"env": {
"DESIGN_DATA_PATH": "./packages/tokens/src"
}
}
}
}
For the legacy server, see @adobe/spectrum-design-data-mcp above.
More context in chat:
- @Files — Reference
docs/s2-docs/ordocs/markdown/so the AI can read those files directly. - @Docs — If this site (or another Spectrum doc site) is indexed in Cursor, add it via @Docs → Add new doc for searchable documentation.
Other AI resources
- llms.txt — At the repo root, llms.txt describes the project layout, design tokens, component schemas, and common tasks for LLMs.
- Generated markdown — The docs/markdown/ directory holds auto-generated markdown from tokens, component schemas, and the design-system registry, used by the docs site and for chatbot indexing. Regenerate with
moon run markdown-generator:generate.
See also: React Spectrum — Using with AI for React Spectrum’s own AI integration (S2 component implementation docs, icons, illustrations).