MCP Server for Fluent UI component knowledge, code generation, and design validation
This server has clear tool naming and generally adequate descriptions, but suffers from incomplete schema documentation and missing output specifications. Tool names follow verb_noun conventions (get_, search_, generate_, validate_, check_, analyze_), which is good. Descriptions are present for all 12 tools and generally explain what they do (avg ~150 chars). However, the critical gap is OUTPUT SCHEMA: the source code shows only INPUT schemas with proper type definitions, but returns no documented output schemas. This is a hard failure against pattern:tool and pattern:tool-chain, agents cannot plan downstream calls without knowing what fields to expect. Additionally, while input parameters have reasonable descriptions, the server provides no error handling guidance, no recovery paths, and no pagination support for list/search operations. For a code-generation server, the lack of explicit return type documentation is a significant oversight.
Analyze component code for adherence to Fluent UI v9 patterns
Check component code for accessibility compliance
Generate a complete Fluent UI v9 component implementation
Generate a component hook following Fluent UI v9 patterns
Generate component styles using makeStyles following Fluent UI patterns
Get code examples and usage patterns for a Fluent UI component
Get comprehensive information about a Fluent UI component including props, slots, and examples
No documented output schemas. All 12 tools lack return type specifications. Agents cannot infer what fields the response contains, making it impossible to chain tool calls or extract required downstream parameters (e.g., does generate_component return component_id, code, imports, or all three?).
No error handling guidance. Tools provide no recovery paths, categorization (retryable vs fatal), or actionable error messages. If validate_design_tokens fails on malformed code, the agent has no idea whether to retry, ask the user, or try a different approach.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 46 | 2026-07-28+ | v2 |
| 2026-03-09 | F | 49 | - | v1 |
Get detailed prop information for a specific Fluent UI component
Get Fluent UI design tokens for colors, typography, spacing, etc.
Search for Fluent UI components by functionality, category, or keywords
Validate component implementation against Fluent UI design specifications
Validate the usage of design tokens in component code
search_components and get_component_info lack pagination support. A Fluent UI component library may contain 50+ components; returning all at once wastes context and risks exhausting token budget. No limit, offset, or cursor parameters documented.
generate_component has complex nested props and slots parameters with insufficient constraint documentation. 'props' is an array of objects, no minItems, maxItems, or validation rules. Agents may pass malformed nested structures without guidance on what constitutes a valid prop definition.
Tool descriptions are functional but generic. Most descriptions state WHAT the tool does but lack WHEN to use it, DEPENDENCIES on other tools, or PREREQUISITE steps. Example: 'generate_component' should note 'Call get_component_info first to understand available props and slots' but does not.