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Model Context Protocol server for dynamic shadcn/ui templates. Provides dynamic UI template generation using shadcn/ui components with support for dashboards, forms, tables, product catalogs, and more.
The server defines 4 tools with reasonable coverage of template generation and discovery workflows. Tool naming follows verb_noun patterns (generate_, list_, get_). Descriptions are present and moderately detailed (120-180 chars each). However, the schema quality is mixed: generate_ui_template has a comprehensive but complex input schema with nested objects, while other tools have minimal or empty schemas. Parameter descriptions exist but some lack guidance on expected formats, constraints, and error recovery. The largest schema (generate_ui_template) is well-structured with typed fields and enums, but output schemas are not documented in the source code provided, a critical gap for LLM downstream reasoning. Error handling and security considerations are not visible in the code snippets. This is a mid-range server: solid naming and basic structure, but missing output schemas, error guidance, and optimization for LLM reasoning.
Enhanced Template generation tool with dynamic content support. Generates dynamic UI templates using shadcn/ui components. Can create dashboards, forms, tables, product catalogs, and more with customizable configuration, images, text content, and branding options.
Get template examples tool. Generates example configurations for a specific template type, optionally filtered by use case.
Get template schema tool. Retrieves the JSON schema for a specific template type, describing the structure and required fields.
List available templates tool. Returns a list of all available template types with their names, descriptions, capabilities, and use cases.
Output schemas not documented. None of the 4 tools declare their response structure. LLMs cannot plan downstream operations or extract required fields without knowing what the tool returns. This violates the 'Document the output schema' pattern and forces LLMs to blindly parse responses.
list_templates and get_template_examples have empty or minimal input schemas ({}). While these are discovery tools that may legitimately take no required parameters, the source code shows no indication of optional parameters, pagination support, or filtering. A discovery tool returning 20 template types without pagination limits could bloat the response and waste context window.
Parameter descriptions in generate_ui_template lack clarity on expected formats and constraints. For example, 'primaryColor' is described as 'hex code' but no pattern or validation rule is stated. 'customData' and 'config' are described as 'record' with no guidance on structure. LLMs will guess at valid values, leading to tool failures.
Inferred effective spec: 2026-07-28+.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-21 | D | 52 | 2026-07-28+ | v2 |
| 2026-03-09 | D | 52 | - | v1 |
No error handling or recovery guidance in tool descriptions. There is no indication of what happens if an invalid templateType is passed, if customData schema is violated, or if image URLs fail to load. Error messages should tell LLMs what to do next (e.g., 'Invalid templateType. Call list_templates() to see available types.').
Tool descriptions do not clarify when to use each tool. For example, the relationship between get_template_schema (returns structure), get_template_examples (returns sample configs), and generate_ui_template (generates actual UI) is unclear. LLMs may call them in the wrong order or redundantly.
generate_ui_template accepts complex nested objects (brandingConfig, images array with nested properties). No description explains the exact schema of these nested structures. LLMs will struggle to construct valid inputs without seeing JSON examples or a formal nested schema.