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Manage multi-project design tokens, component specs, and validation rules.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MPDS-MCP" yet — see the docs or source repo.
Please query the button component spec from MPDS-MCP and summarize its key properties, states, and inheritance relationships.
A summary of the button component spec, including key properties, state definitions, and parent-child inheritance details.
Use MPDS-MCP to validate the current project's design token configuration and identify possible conflicts, inconsistencies, or inheritance issues.
Validation results for the design tokens, listing detected issues and the related rules or hierarchy.
Please compare the design system configurations of the parent and child projects, focusing on inherited and overridden parts.
A diff-style summary showing inherited items, overrides, and affected component specs or tokens.
Designers and frontend teams can centrally manage design tokens and component specs across multiple projects, using parent-child inheritance to reduce duplication.
After updating a design system, teams can use it to check for conflicts or inconsistencies in tokens and component specs to help maintain quality.
Developers can access design system data through REST API or JSON-RPC and integrate tokens, specs, or validation into internal tooling.
It is an MCP server for multi-project design systems that manages design tokens, component specs, and validation, with parent-child inheritance support.
The provided description says it is accessible via REST API and JSON-RPC. For detailed interface information, see the source repository.
The available material does not specify the runtime, installation steps, or API key requirements; see the source repository for details.
Lets AI access design tokens and component contracts via MCP consistently.
Search, read, and discover related design system components via MCP.
Discover design system components and generate implementation-ready frontend code automatically.
Operate design tools remotely for image processing and automated creative workflows.
Turn Markdown files into local MCP servers to define and run tools.
Sync and index component libraries so AI can search, understand, and generate component code.