AllGoodInsp
Provides access to Linear's design specifications, including typography, color palettes, and structured CSS values, for use as high-quality design references.
Provides access to Stripe's design specifications, including typography, color palettes, and structured CSS values, for use as high-quality design references.
Provides access to Vercel's design specifications, including typography, color palettes, and structured CSS values, for use as high-quality design references.
AllGoodInsp MCP Server
A curated design reference database for AI agents. Retrieve structured design data from hundreds of curated websites — real CSS values, typography specs, color palettes, and design rationale — to generate better web designs.
Instead of generating from generic prompts, your AI retrieves actual design decisions from quality sites and synthesizes them into code-ready specifications.
Quick Start
Claude Desktop / Claude Code / Cursor
Add to your MCP configuration:
{
"mcpServers": {
"allgoodinsp": {
"url": "https://mcp.allgoodinsp.com"
}
}
}Configuration file locations:
Client | Path |
Claude Desktop (macOS) |
|
Claude Desktop (Windows) |
|
Claude Code |
|
Cursor |
|
On first connection, you'll be prompted to authenticate via Google OAuth through your browser.
API Key Authentication
For server-to-server or CI/CD use, generate an API key at allgoodinsp.com/account and pass it as a Bearer token:
Authorization: Bearer agi_your_key_hereRelated MCP server: ui-ux-pro-mcp
Basic Usage Flow
A typical design workflow with AllGoodInsp follows this sequence:
Step 1: Load the methodology
get_reference_guide()
get_methodology({ layers: ["principles", "patterns"] })Gives your AI the design vocabulary — universal principles (typography, layout, color, motion, IA) and recurring patterns. Load once per session. This is the foundation: methodology without references produces correct but boring design.
Step 2: Search for references
search_sites({ query: "minimal SaaS landing page, confident and warm" })Describe what you're building in natural language — mood, purpose, aesthetic. The search uses 3-axis matching (purpose + mood + contrast diversity) to return varied, relevant results.
Step 3: Select and read references
get_site({ site_id: "stripe-com", detail: "full" })
get_site({ site_id: "linear-app", detail: "full" })
get_site({ site_id: "vercel-com", detail: "full" })Pick 3+ references. Each reference contains CSS values, typography specs, color palettes, and design rationale. Use each site as a specialist for specific decisions — don't average them.
Step 4: Synthesize into a design brief
extract_essence({
site_ids: ["stripe-com", "linear-app", "vercel-com"],
brief: "SaaS landing page for a developer tool, confident and minimal"
})extract_essence combines the selected references into a code-ready design specification — CSS variables, color palette, typography scale, spacing system, section structure, and design rules with fixed/explorable boundaries.
Step 5: Build and review
Build your design using the synthesized brief, then run the quality checklist:
self_review()Checks for design anti-patterns, craft quality, principle adherence, and IA structure.
Tools
extract_essence — Primary tool
Synthesize 2-5 site references into a code-ready design brief. Returns CSS variables, color palette, typography scale, spacing system, section structure, and design rules with fixed/explorable boundaries.
extract_essence({
site_ids: ["stripe-com", "linear-app", "vercel-com"],
brief: "SaaS landing page for a developer tool, confident and minimal"
})search_sites
Semantic search across all references by mood, purpose, or description. Uses 3-axis search (purpose + mood + contrast diversity) to return varied results.
search_sites({ query: "warm editorial magazine layout" })
search_sites({ query: "bold fintech landing page", category: "software-saas" })get_site
Retrieve the full design analysis for a specific site — color palette, typography, sections, components with CSS values and rationale.
get_site({ site_id: "stripe-com" })
get_site({ site_id: "stripe-com", detail: "full" })search_by_component
Find sites by specific design elements. Searches across all components in all references.
search_by_component({ query: "hero with video background" })
search_by_component({ query: "pricing table with toggle" })get_methodology
Access the design methodology — universal principles, craft guidelines, recurring patterns, and information architecture.
get_methodology({ layers: ["principles", "patterns"] })get_principles
Design principles for specific domains.
get_principles({ category: "typography" })
get_principles({ category: "color" })Available categories: typography, layout, color, motion, ia
get_patterns
Recurring technique combinations distilled from the collection, with evidence from multiple sites.
get_patterns()get_reference_guide
Guide for reading and combining design references effectively.
get_workflow
Autonomous workflow for AI agents building design systems from references.
self_review
Post-implementation quality checklist for design patterns, anti-patterns, craft quality, and information architecture.
What's in the data
Each reference contains structured design decisions from a real website:
Color palette — background, text primary/secondary, CTA, accent (with hex values and rationale)
Typography — font families, weights, sizes, line-heights, letter-spacing for headings, body, nav, CTA
Convention breaks — intentional violations of design principles, with scope and rationale
Sections — hero, navigation, content, CTA, footer — each with dominant design decisions
Components — individual elements with CSS values, principle references, and "why" explanations
Three-layer knowledge system
Layer | Description | Count |
Principles | Universal design truths (typography, layout, color, motion, IA) | 30+ |
Patterns | Recurring technique combinations observed across multiple sites | 30+ |
References | Per-site structured JSON with design decisions and CSS values | Hundreds |
Categories
Agency, E-Commerce, Consulting, Software/SaaS, Portfolio, Food & Beverage, Hospitality, Education, Health & Wellness, Media/Editorial, Deep-Tech, Architecture, Business/Finance, Recruitment, and more.
REST API
For programmatic access outside MCP, a REST API is also available.
Base URL: https://api.allgoodinsp.com/v1
Endpoint | Description |
| List sites (filterable by category, country, region) |
| Full design analysis for a site |
| Semantic search |
| Categories, countries, regions with counts |
| Site screenshot |
Authentication required for higher rate limits. Generate an API key at allgoodinsp.com/account.
Links
Gallery: allgoodinsp.com
MCP Endpoint:
https://mcp.allgoodinsp.comREST API:
https://api.allgoodinsp.com/v1MCP Docs: allgoodinsp.com/docs/mcp
API Docs: allgoodinsp.com/docs/api
License
MIT
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