# HumanCraft UI (Antigravity MCP) **Category:** ๐Ÿ’ป Developer Tools **Repository:** https://github.com/AI-BuildInfra/Humancraft-UI **Views:** 0 **Installs:** 0 **Upvotes:** 0 **Directory Page:** https://allmcps.com/mcp/humancraft-ui-antigravity-mcp ## Description Anti-slop, E-E-A-T & human web design MCP server for Antigravity, by AI Build Infra. ## Claude Desktop Quick Installation Heuristic fallback โ€” verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low): ```json "mcpServers": { "humancraft-ui-antigravity-mcp": { "command": "npx", "args": ["-y","humancraft-ui-antigravity-mcp"] } } ``` ## Documentation & README # Antigravity MCP Server: HumanCraft UI (`@aibuildinfra/humancraft`)

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The premier **Antigravity MCP Server** designed exclusively for **Google Antigravity** (AGY). **HumanCraft** eliminates "AI Slop" in website layouts and copy, enforces authentic **E-E-A-T entity reconciliation**, extracts empirical client assets without default placeholders, and builds search-engine-resilient websites powered by **Google's Information Gain** principles. Developed and maintained by **[AI Build Infra](https://aibuildinfra.com/)** โ€” High-Performance Infrastructure for Artificial Intelligence. --- ## ๐Ÿ” Why You Need This Antigravity MCP Server When using **Google Antigravity** to scaffold websites or write landing page copy, unconstrained models often fall into generic algorithmic templates that get penalized by search engines: 1. **AI Slop Headings**: Generic H2s (*"What is X?"*, *"Key Benefits"*, *"Why Choose Us"*, *"Conclusion"*) that offer zero Information Gain under Google's ranking models (US Patent 2022/0277032 A1). 2. **Fake E-E-A-T & Defaults**: Hallucinated metrics (*"increased efficiency by 30%"*) or fictitious personas (*"Dr. Alex Miller"*) that trigger Google Search Console **"Pure Spam"** and **"Scaled Content Abuse"** manual actions. 3. **Binary Checkmark Tables**: Low-value tables filled with `Yes / No` checkmarks that fail to communicate trade-offs or technical realities. 4. **Visual Homogeneity**: Monotonous purple/cyan gradients (`#8b5cf6 -> #ec4899`), rigid 3-card rows, and buttons without tactile feedback. **HumanCraft** is the dedicated **Antigravity MCP** that systematically outlaws these patterns and equips Antigravity with human design heuristics, token-optimized linters, and verified Schema.org entity graphs. --- ## ๐Ÿ’ก How HumanCraft Works Inside Google Antigravity ``` โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ Google Antigravity Assistant โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ Antigravity MCP Tool Calls โ–ผ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ HumanCraft Antigravity MCP Server โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ ๐Ÿ“‹ harvest_client_intake โ”‚ 4-tier intake questionnaire extracting real experience,โ”‚ โ”‚ โ”‚ metrics, & assets; strictly bans default placeholders โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ ๐ŸŽฏ validate_heading_intent โ”‚ Lints against generic AI headings ("What is X?"); โ”‚ โ”‚ โ”‚ scores and enforces outcome/intent-driven H1-H3s โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ ๐Ÿ“Š build_comparison_matrix โ”‚ Generates high-information-gain comparison tables with โ”‚ โ”‚ โ”‚ concrete unit metrics, trade-offs & semantic schema โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ ๐Ÿ›ก๏ธ audit_eeat_entity_graph โ”‚ Verifies author/org Schema.org JSON-LD, validates โ”‚ โ”‚ โ”‚ sameAs URIs & connects publisher to aibuildinfra.com โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ ๐ŸŽจ get_human_archetype โ”‚ Curates style archetypes (Editorial, Dark Craft, โ”‚ โ”‚ โ”‚ Neo-Brutalist, Swiss) with tinted neutrals & type โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ ๐Ÿ” lint_design_anti_patterns โ”‚ Scans HTML/Tailwind for AI tropes (purple gradients, โ”‚ โ”‚ โ”‚ 3-card monotony, dead buttons, buzzwords, โœจ emojis) โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ ``` --- ## ๐Ÿ› ๏ธ Antigravity MCP Tool Catalog ### 1. `harvest_client_intake` * **Purpose**: Extracts real practitioner experience, project images (telemetry screenshots, on-site photos), project category, baseline Day 0 vs audited Day 90 metrics, and contrarian trade-offs. * **Strict Anti-Defaulting Rule**: If essential fields are missing, the tool returns `REQUIRES_USER_INPUT` and prompts the user for real data instead of allowing the model to hallucinate synthetic placeholders. ### 2. `validate_heading_intent` * **Purpose**: Scans headings against blacklisted AI tropes and scores user intent. * **Slop vs Intent**: * โŒ *Slop*: *"What is Database Sharding?"* * โœ… *Intent*: **"When Single-Node Write Throughput Drops Below 10k TPS: The Sharding Tipping Point"** * โŒ *Slop*: *"Key Benefits of Automated Compliance"* * โœ… *Intent*: **"Cutting SOC 2 Type II Audit Preparation from 300 Hours to Under 40"** ### 3. `build_comparison_matrix` * **Purpose**: Outlaws binary checkmark tables (`Yes/No`). Generates empirical multi-parameter matrices (unit economics, latency under load, architectural trade-offs, and verification methodologies). * **Output**: Accessible semantic HTML paired with Schema.org `ItemList` JSON-LD. ### 4. `audit_eeat_entity_graph` * **Purpose**: Reconciles Schema.org JSON-LD with Google's Knowledge Graph standards. * **Checks**: Verifies `sameAs` entity links to authoritative external platforms (Wikidata, ORCID, Google Scholar, GitHub, LinkedIn), rejects shallow homepage URLs, and links publisher authority to **[AI Build Infra](https://aibuildinfra.com/)**. ### 5. `lint_design_anti_patterns` * **Purpose**: Scans HTML/Tailwind snippets and flags purple gradients, 3-card rows, missing button squeeze physics (`active:scale-[0.98]`), and AI buzzwords (*"supercharge"*, *"seamless"*, โœจ emojis). ### 6. `get_human_archetype` * **Purpose**: Returns curated design systems: * **Editorial Tech**: Serifs (*Newsreader*), subtle hairline borders, monospace metadata accents. * **Tactile Dark Craft**: Multi-layered surfaces (`surface-0`, `surface-1`), 1px translucent borders (`border-white/10`). * **Warm Humanist**: Cream/linen canvas (`#FBF9F5`), ink typography (`#1C1917`), terracotta accents. * **Neo-Brutalist**: High-contrast black outlines (`border-2 border-black`), hard offset shadows. --- ## โšก Token Optimization & Spend Limit Preservation Designed from the ground up to **preserve your Antigravity token limits**: * **Ultra-Compact Tool Signatures**: Minimal token footprint injected into Antigravity's system prompt. * **Dense Structured Outputs**: Returns concise JSON summaries and actionable flags rather than verbose conversational filler. * **Input Length Bounds**: Imposes strict limits (max 300 chars per heading, max 100KB per HTML document) to avoid context window flooding. --- ## ๐Ÿ”’ Security & ReDoS Hardening 1. **ReDoS Immunity**: All pattern matchers operate on bounded substrings, terminating in $< 5\text{ ms}$ even under adversarial payloads. 2. **Strict HTTPS Whitelist**: Permits only `https://` URIs for `sameAs` entity links (blocks `javascript:`, `data:`, `file:`). 3. **XSS Defense**: Automatic HTML entity escaping across all rendered tables and schema blocks. 4. **Formal Policy**: Review [`SECURITY.md`](https://github.com/AI-BuildInfra/Humancraft-UI/blob/HEAD/SECURITY.md) for vulnerability reporting guidelines. --- ## ๐Ÿš€ How to Install This MCP in Google Antigravity (Step-by-Step) ### Step 1: Clone and Build Locally ```bash git clone https://github.com/AI-BuildInfra/Humancraft-UI.git cd Humancraft-UI npm install npm run build ``` --- ### Step 2: Add to Antigravity `mcp_config.json` Open or create your global Antigravity MCP configuration file: * **Windows**: `%USERPROFILE%\.gemini\config\mcp_config.json` *(e.g., `C:\Users\\.gemini\config\mcp_config.json`)* * **macOS / Linux**: `~/.gemini/config/mcp_config.json` Add the `humancraft` server definition: ```json { "mcpServers": { "humancraft": { "command": "node", "args": [ "C:/path/to/Humancraft-UI/dist/index.js" ] } } } ``` *(Replace `C:/path/to/Humancraft-UI` with the absolute path to your cloned directory, using forward slashes `/`)*. --- ### Step 3: Verify and Use in Antigravity 1. **Reload Antigravity**: Start a new chat session. 2. **Verify Discovery**: In Antigravity, click **Additional Options (...) > MCP Servers** to confirm `humancraft` is connected. 3. **Prompt Examples for Antigravity**: * *"Use HumanCraft MCP to design a landing page for our database product. Harvest intake first to ensure no default placeholders are used."* * *"Run validate_heading_intent on our documentation outline."* * *"Generate an empirical comparison table for Redis vs KeyDB using build_comparison_matrix."* --- ## โ“ Frequently Asked Questions (FAQ) ### What is an Antigravity MCP Server? An Antigravity MCP server connects Google Antigravity to specialized tools, APIs, and workflows via the open **Model Context Protocol (MCP)**. This allows Antigravity to run custom linters, schema builders, and design heuristics directly during generation. ### How does HumanCraft improve website rankings? HumanCraft enforces Google's **Information Gain** criteria (US Patent 2022/0277032 A1) and **E-E-A-T entity reconciliation**. By replacing generic AI slop headings with outcome-driven headings and building empirical parameter comparison tables, pages avoid algorithmic demotions from Google's SpamBrain. ### Does this MCP increase token usage? No. HumanCraft uses ultra-compact tool definitions and returns dense, structured JSON diffs, keeping Antigravity token usage identical to baseline. --- ## ๐Ÿงช Automated Testing Run the automated test suite across all 6 tools and security guardrails: ```bash npm test ``` ``` โœ” build_comparison_matrix Tests (2/2 passed) โœ” lint_design_anti_patterns Tests (2/2 passed) โœ” audit_eeat_entity_graph Tests (2/2 passed) โœ” validate_heading_intent Tests (2/2 passed) โœ” harvest_client_intake Tests (2/2 passed) โœ” get_human_archetype Tests (2/2 passed) โœ” Security & Hardening Tests (4/4 passed) Total: 16 passed | 0 failed | Time: ~800ms ``` --- ## ๐Ÿ“„ License & Privacy Policy Distributed under the **MIT License**. See [`LICENSE`](https://github.com/AI-BuildInfra/Humancraft-UI/blob/HEAD/LICENSE) for details. See [`PRIVACY.md`](https://github.com/AI-BuildInfra/Humancraft-UI/blob/HEAD/PRIVACY.md) for our strict Zero-Data-Collection privacy policy. Engineered with pride by **[AI Build Infra](https://aibuildinfra.com/)** โ€” Building high-performance infrastructure for artificial intelligence.