web-ui-component-spec-mcp
Provides AI coding assistants with on-demand access to component specs, test scenarios, accessibility requirements, and build guides from the Web UI Component Specification.
README
Web UI Component Specification — MCP Server
An MCP (Model Context Protocol) server that gives AI coding assistants direct access to the Web UI Component Specification — a comprehensive behavioral reference for web UI component libraries covering component specs, test scenarios, accessibility requirements, and a step-by-step build guide.
What this does
Instead of pasting spec content into prompts manually, this server lets your AI assistant query exactly what it needs, when it needs it:
- Building a component? → Fetch its full spec on demand
- Writing tests? → Get just the test scenarios
- Starting a library? → Get a curated component list for your project type
- Reviewing an implementation? → Validate it against the spec automatically
Read the specification
Prefer the human-readable version? Download the full spec as a PDF:
Web UI Component Specification (v1.0) — PDF
All exported versions live under exports/.
Installation
Option 1 — uvx (recommended, no install required)
uvx web-ui-component-spec-mcp
Option 2 — pip
pip install web-ui-component-spec-mcp
web-ui-component-spec-mcp
Option 3 — Clone and run
git clone https://github.com/gcsebas99/web-ui-component-spec-mcp.git
cd web-ui-component-spec-mcp
pip install -r requirements.txt
Then execute server.py.
python server.py
MCP Client Configuration
Add to your MCP client config (Claude Desktop, Cursor, etc.):
uvx:
{
"mcpServers": {
"ui-spec": {
"command": "uvx",
"args": ["web-ui-component-spec-mcp"]
}
}
}
pip install:
{
"mcpServers": {
"ui-spec": {
"command": "web-ui-component-spec-mcp"
}
}
}
Clone and run:
{
"mcpServers": {
"ui-spec": {
"command": "python",
"args": ["/absolute/path/to/web-ui-component-spec-mcp/server.py"]
}
}
}
Source files
The spec content (Markdown files) are included in the source/ directory (latest version available):
| File | Description |
|---|---|
source/Core_Principles.md |
Component philosophy, design tokens, interaction principles |
source/Component_Catalog.md |
Full catalog of all components with specs and tests |
source/Step_By_Step_Guide.md |
Step-by-step build guide |
Available tools
| Tool | Description |
|---|---|
list_components |
Full component index with optional category/tier filtering |
get_component_spec |
Full spec for one component |
get_component_tests |
Test scenarios only for one or more components |
get_component_summary |
Lightweight summary (description + main features) |
get_components_by_scenario |
Curated component list for a project type |
get_core_principles |
Core Principles by section |
get_step_by_step |
Step-by-step guide by step number |
get_related_components |
Dependencies, dependents, and alternatives |
search_components |
Fuzzy search by behavior or description |
validate_component_checklist |
Coverage report against spec requirements |
Using the skill
For best results, load the skill file into your AI assistant's system prompt before starting a component build session.
Full skill (recommended for new sessions):
skill/skill-full.md
Compact skill (for mid-session use when context is limited):
skill/skill-compact.md
Example prompts
See examples/example-prompts.md for
ready-to-use prompts covering common scenarios:
building a component, starting a library, reviewing code, writing tests.
Project structure
web-ui-component-spec-mcp/
├── server.py # MCP server entry point
├── pyproject.toml # PyPI packaging (pip + uvx)
├── requirements.txt # Direct install dependencies
│
├── tools/ # One file per MCP tool
├── parsers/ # MD parsing logic
├── data/ # In-memory store (loaded at startup)
│
├── source/ # Spec MD files (bundled; VERSION.md pins the revision)
├── exports/ # Human-readable PDF exports of the spec
├── skill/ # Skill files for AI assistants
└── examples/ # Example prompts
Spec version
This server is built for Web UI Component Specification v1.0.
| Spec version | Server version |
|---|---|
| v1.0 | 1.0.x |
License
MIT
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