
HumanCraft UI (Antigravity MCP)
io.github.AI-BuildInfra由 GitHub 帳號 AI-BuildInfra 發布v1.0.0更新於 Oct 24, 2026
Anti-slop, E-E-A-T & human web design MCP server for Antigravity, by AI Build Infra.
發布方自己的服務:Craft
概覽
一個本機 MCP 伺服器,讓助理能檢查網頁文案與設計中的通用 AI 套路,並建立 E-E-A-T 實體圖譜。
- 可以做什麼
- HumanCraft UI 提供六個面向網站生成的工具:harvest_client_intake 蒐集真實客戶經驗、指標與素材,欄位缺漏時拒絕繼續;validate_heading_intent 依通用 AI 套路為標題評分;build_comparison_matrix 產生多參數比較表並附上 Schema.org ItemList 標記;audit_eeat_entity_graph 檢查作者與組織的 JSON-LD 及 sameAs 連結;lint_design_anti_patterns 掃描 HTML 或 Tailwind 片段中的視覺老套;get_human_archetype 回傳精選設計系統。
- 適用情境
- 當助理正在建立落地頁、行銷文案或文件大綱,而你希望它避開通用標題、捏造指標與重複的視覺模板時,適合加入。主要針對在意搜尋內容品質的 Google Antigravity 使用者。
- 執行需求
- 以本機 stdio 程序在使用者電腦上執行,僅支援桌面端。README 要求先複製儲存庫、執行 npm install 與 npm run build,再於 Antigravity 的 mcp_config.json 中以 node 指令註冊建置產物 dist/index.js。未宣告任何帳號、API 金鑰或環境變數。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 HumanCraft UI (Antigravity MCP),將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
Antigravity MCP Server: HumanCraft UI (@aibuildinfra/humancraft)
[AI Build Infra Website] [Maintained by AI Build Infra] [Model Context Protocol]
[MCPLookup Trust Index] [M8ven Score] [CI Passing] [npm version] [MIT License] [E-E-A-T Verified]
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 — High-Performance Infrastructure for Artificial Intelligence.
🔍 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:
- 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).
- 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.
- Binary Checkmark Tables: Low-value tables filled with
Yes / Nocheckmarks that fail to communicate trade-offs or technical realities. - 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.
💡 How HumanCraft Works Inside Google Antigravity
🛠️ 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_INPUTand 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:
- ❌ Slop: "What is Database Sharding?"
- ✅ Intent: "When Single-Node Write Throughput Drops Below 10k TPS: The Sharding Tipping Point"
- ❌ Slop: "Key Benefits of Automated Compliance"
- ✅ 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
ItemListJSON-LD.
4. audit_eeat_entity_graph
- Purpose: Reconciles Schema.org JSON-LD with Google's Knowledge Graph standards.
- Checks: Verifies
sameAsentity links to authoritative external platforms (Wikidata, ORCID, Google Scholar, GitHub, LinkedIn), rejects shallow homepage URLs, and links publisher authority to AI Build Infra.
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", ✨ 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.
⚡ 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.
🔒 Security & ReDoS Hardening
- ReDoS Immunity: All pattern matchers operate on bounded substrings, terminating in $< 5\text{ ms}$ even under adversarial payloads.
- Strict HTTPS Whitelist: Permits only
https://URIs forsameAsentity links (blocksjavascript:,data:,file:). - XSS Defense: Automatic HTML entity escaping across all rendered tables and schema blocks.
- Formal Policy: Review
SECURITY.mdfor vulnerability reporting guidelines.
🚀 How to Install This MCP in Google Antigravity (Step-by-Step)
Step 1: Clone and Build Locally
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\<YourUsername>\.gemini\config\mcp_config.json) - macOS / Linux:
~/.gemini/config/mcp_config.json
Add the humancraft server definition:
(Replace C:/path/to/Humancraft-UI with the absolute path to your cloned directory, using forward slashes /).
Step 3: Verify and Use in Antigravity
- Reload Antigravity: Start a new chat session.
- Verify Discovery: In Antigravity, click Additional Options (...) > MCP Servers to confirm
humancraftis connected. - 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."
❓ 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.
🧪 Automated Testing
Run the automated test suite across all 6 tools and security guardrails:
📄 License & Privacy Policy
Distributed under the MIT License. See LICENSE for details.
See PRIVACY.md for our strict Zero-Data-Collection privacy policy.
Engineered with pride by AI Build Infra — Building high-performance infrastructure for artificial intelligence.
來源:README.md,提交 4adf2a7
工具
0版本歷史
1- v1.0.0最新Sep 24, 2026
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