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Intelligence Aeternum Data Portal

AI training dataset marketplace — 2M+ museum artworks across 7 world-class institutions with on-demand 111-field Golden Codex AI enrichment. x402 USDC micropayments on Base L2. First monetized art/provenance MCP server. Research-backed: dense metadata improves VLM capability by +25.5% (DOI: 10.5281/zenodo.18667735) The complete creative AI pipeline exposed as MCP tools. From generation to permanent storage — every stage available via x402 USDC micropayments on Base L2. Generation - SD 3.5 Large + T5-XXL — Stable Diffusion 3.5 Large with T5-XXL text encoder on NVIDIA L4 GPU. High-fidelity image generation with superior prompt adherence. LoRA support (Artiswa v2 style transfer). Upscaling - ESRGAN x4 Upscaler — Real-ESRGAN x4plus on NVIDIA L4 GPU (24GB VRAM). Takes 1024px to 4096px in ~1.15s. Production-grade super-resolution for print and archival quality. AI Enrichment - Golden Codex Metadata Creation (Nova) — 111-field deep visual analysis powered by Gemini VLM. Color harmony, composition, symbolism, emotional journey, provenance chain, archetypal resonance. 2,000-6,000 tokens per artwork. Research-backed: +25.5% VLM improvement (DOI: 10.5281/zenodo.18667735). Metadata Infusion - Atlas XMP/IPTC/C2PA Infusion — Embed Golden Codex metadata directly into image files via ExifTool. XMP-gc namespace, gzip+base64 compressed payload, SHA-256 Soulmark hash, C2PA Content Credentials. Strip-proof: metadata recoverable via hash registry even if XMP is removed. Verification - Aegis Provenance Verification — "Shazam for Art." Perceptual hash lookup against 100K+ scale LSH index (16x4 bands). Verify any image's provenance chain in <500ms. Free tier available. Dataset Access - Alexandria Aeternum — 2M+ museum artworks across 7 world-class institutions (Met, Rijksmuseum, Smithsonian, NGA, Chicago, Cleveland, Paris). Search, preview, and purchase enriched training data. Human_Standard and Hybrid_Premium tiers with auto-generated AB 2013 + EU AI Act compliance manifests. Permanent Storage - Arweave Permanent Storage — Store artifacts on Arweave L1 for 200+ year permanence. No AR tokens needed — pay in USDC via x402 and we handle the rest. Native AR SDK, direct L1 posting, transaction ID returned for on-chain verification. Your art outlives every server. NFT Minting - Mintra Blockchain Minting — Mint provenance-tracked NFTs on Polygon. Metadata-rich tokens with full Golden Codex schema on-chain. Archivus (Arweave) + Mintra (Polygon) pipeline: permanent storage → immutable ownership in one call. Pricing — Genesis Epoch: 20% off all services for 90 days. Volume discounts auto-apply per wallet (100+ 25% off, 500+ 37% off, 2000+ 50% off). Enterprise packages from $8,000.

Intelligence Aeternum Data Portal

AI training dataset marketplace — 2M+ museum artworks across 7 world-class institutions with on-demand 111-field Golden Codex AI enrichment. x402 USDC micropayments on Base L2. First monetized art/provenance MCP server. Research-backed: dense metadata improves VLM capability by +25.5% (DOI: 10.5281/zenodo.18667735). The complete creative AI pipeline exposed as MCP tools. From generation to permanent storage — every stage available via x402 USDC micropayments on Base L2. Generation - SD 3.5 Large + T5-XXL — Stable Diffusion 3.5 Large with T5-XXL text encoder on NVIDIA L4 GPU. High-fidelity image generation with superior prompt adherence. LoRA support (Artiswa v2 style transfer). Upscaling - ESRGAN x4 Upscaler — Real-ESRGAN x4plus on NVIDIA L4 GPU (24GB VRAM). Takes 1024px to 4096px in ~1.15s. Production-grade super-resolution for print and archival quality. AI Enrichment - Golden Codex Metadata Creation (Nova) — 111-field deep visual analysis powered by Gemini VLM. Color harmony, composition, symbolism, emotional journey, provenance chain, archetypal resonance. 2,000-6,000 tokens per artwork. Research-backed: +25.5% VLM improvement (DOI: 10.5281/zenodo.18667735). Metadata Infusion - Atlas XMP/IPTC/C2PA Infusion — Embed Golden Codex metadata directly into image files via ExifTool. XMP-gc namespace, gzip+base64 compressed payload, SHA-256 Soulmark hash, C2PA Content Credentials. Strip-proof: metadata recoverable via hash registry even if XMP is removed. Verification - Aegis Provenance Verification — "Shazam for Art." Perceptual hash lookup against 100K+ scale LSH index (16x4 bands). Verify any image's provenance chain in <500ms. Free tier available. Dataset Access - Alexandria Aeternum — 2M+ museum artworks across 7 world-class institutions (Met, Rijksmuseum, Smithsonian, NGA, Chicago, Cleveland, Paris). Search, preview, and purchase enriched training data. Human_Standard and Hybrid_Premium tiers with auto-generated AB 2013 + EU AI Act compliance manifests. Permanent Storage - Arweave Permanent Storage — Store artifacts on Arweave L1 for 200+ year permanence. No AR tokens needed — pay in USDC via x402 and we handle the rest. Native AR SDK, direct L1 posting, transaction ID returned for on-chain verification. Your art outlives every server. NFT Minting - Mintra Blockchain Minting — Mint provenance-tracked NFTs on Polygon. Metadata-rich tokens with full Golden Codex schema on-chain. Archivus (Arweave) + Mintra (Polygon) pipeline: permanent storage → immutable ownership in one call. Pricing — Genesis Epoch: 20% off all services for 90 days. Volume discounts auto-apply per wallet (100+ 25% off, 500+ 37% off, 2000+ 50% off). Enterprise packages from $8,000.

Zapcode Figma Mcp

# Zapcode Figma MCP Server [![npm version](https://img.shields.io/npm/v/zapcode-figma-mcp.svg)](https://www.npmjs.com/package/zapcode-figma-mcp) Connect your Figma designs directly to AI tools like Claude Desktop, Claude Code, Cursor, and Cline. Get real-time HTML, CSS, images, and assets from selected Figma frames through the Model Context Protocol. ## Features - **Real-time Design Context** - Fetches live data from your currently selected Figma frame - **Complete Asset Export** - Supports SVG, PNG, JPG, PDF, and all Figma asset types - **Configurable Storage** - Save assets to custom paths or default workspace location - **Auto-organized Assets** - Assets grouped by type (svg/, png/, jpg/, etc.) - **Zero Configuration** - Works out of the box with npx - **Rich Context** - Provides HTML structure, CSS styles, images, and design specifications ## Prerequisites 1. **Node.js 16+** - [Download here](https://nodejs.org/) 2. Figma 3. **[Zapcode Figma Plugin](https://www.figma.com/community/plugin/1454956820198178710/zapcode)** - Install from Figma Community ## Installation ### Claude Desktop Add to your `claude_desktop_config.json`: **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` ```json { "mcpServers": { "zapcode-figma": { "command": "npx", "args": ["-y", "zapcode-figma-mcp"] } } } ``` Restart Claude Desktop after making changes. ### Claude Code Add to your `claude_code_config.json`: **macOS/Linux**: `~/.config/claude-code/claude_code_config.json` **Windows**: `%APPDATA%\claude-code\claude_code_config.json` ```json { "mcpServers": { "zapcode-figma": { "command": "npx", "args": ["-y", "zapcode-figma-mcp"] } } } ``` ### Cursor Add to your MCP settings configuration: ```json { "mcpServers": { "zapcode-figma": { "command": "npx", "args": ["-y", "zapcode-figma-mcp"] } } } ``` ### Cline (VS Code Extension) Add to Cline's MCP settings: ```json { "mcpServers": { "zapcode-figma": { "command": "npx", "args": ["-y", "zapcode-figma-mcp"] } } } ``` ### Windsurf Add to your Windsurf MCP configuration: ```json { "mcpServers": { "zapcode-figma": { "command": "npx", "args": ["-y", "zapcode-figma-mcp"] } } } ``` ### Zed Editor Add to your Zed settings (MCP support currently in preview): ```json { "context_servers": { "zapcode-figma": { "command": "npx", "args": ["-y", "zapcode-figma-mcp"] } } } ``` ### Continue (VS Code/JetBrains) Add to Continue's configuration: ```json { "mcpServers": { "zapcode-figma": { "command": "npx", "args": ["-y", "zapcode-figma-mcp"] } } } ``` ### GitHub Copilot Add to your GitHub Copilot MCP configuration: ```json { "servers": { "zapcode-figma": { "type": "stdio", "command": "npx", "args": ["-y", "zapcode-figma-mcp"] } } } ``` ## How It Works 1. **Install Plugin** - Add Zapcode plugin to Figma Desktop 2. **Run Plugin** - Launch Zapcode plugin from Figma 3. **Select Frame** - Choose any frame in your Figma design 4. **Ask AI** - Ask AI to bring you the figma context 5. **Get Context** - Receive complete design data and assets ## Troubleshooting ### "Figma plugin is not connected" **Cause**: MCP server cannot reach the Zapcode Figma plugin. **Solution**: 1. Open Figma Desktop App 2. Open your design file 3. Run Zapcode plugin (Plugins → Zapcode) 4. Ensure plugin window stays open 5. Retry connecting using toggle 5. Try the MCP tool again ### Assets Not Saving **Cause**: Permission issues or invalid path. **Solution**: 1. Ensure the assets path exists or parent directory is writable 2. Use absolute paths for clarity 3. Check file permissions on the target directory ## Asset Organization Assets are automatically organized by type: ``` assets/ ├── svg/ │ ├── icon_component.svg │ └── logo.svg ├── png/ │ ├── screenshot_1.png │ └── image_export.png └── jpg/ └── photo.jpg ``` ## Supported Clients This server works with any MCP-compatible client, including: - [Claude Desktop](https://modelcontextprotocol.io/clients#claude-desktop) - Anthropic's desktop application - [Claude Code](https://claude.com/claude-code) - Anthropic's official CLI for Claude - [Cursor](https://www.cursor.com/) - AI-first code editor - [Cline](https://github.com/cline/cline) - Autonomous coding agent for VS Code - [Windsurf](https://codeium.com/windsurf) - AI-powered IDE with MCP Plugin Store - [Zed](https://zed.dev/) - High-performance code editor (MCP in preview) - [Continue](https://continue.dev/) - Open-source IDE extension - [GitHub Copilot](https://github.com/features/copilot) - With MCP support in VS Code ## Links - [NPM Package](https://www.npmjs.com/package/zapcode-figma-mcp) - [Zapcode Figma Plugin](https://www.figma.com/community/plugin/1454956820198178710/zapcode) - [Model Context Protocol](https://modelcontextprotocol.io/) - [MCP Servers Collection](https://github.com/modelcontextprotocol/servers) --- **Sources:** - [Model Context Protocol Official Servers](https://github.com/modelcontextprotocol/servers) - [GitHub MCP Server](https://github.com/github/github-mcp-server) - [MCP Clients Directory](https://github.com/punkpeye/awesome-mcp-clients) - [Official MCP Client Examples](https://modelcontextprotocol.io/clients)

Research-Quest: Scientific Discovery Platform

Research-Quest A comprehensive desktop extension implementing the Research-Quest framework for systematic scientific reasoning through an 8-stage graph-based methodology. Overview The Research-Quest desktop extension provides researchers with a powerful tool for conducting systematic scientific analysis through a structured, graph-based approach. This extension implements the complete Research-Quest framework as defined in the Research-Quest.md specification, enabling: - Systematic Research Methodology: 8-stage process from initialization to reflection - Multi-dimensional Confidence Tracking: Bayesian belief updates with statistical rigor - Interdisciplinary Research Support: Bridge nodes connecting different domains - Causal Inference Capabilities: Pearl's do-calculus and counterfactual reasoning - Temporal Pattern Analysis: Dynamic relationship modeling - Bias Detection & Mitigation: Systematic bias identification and correction - Impact Assessment: Research significance and utility estimation - Collaborative Research Features: Multi-researcher attribution and consensus building Architecture 8-Stage Research-Quest Framework 1. Initialization: Create root node with task understanding 2. Decomposition: Break down research task into fundamental dimensions 3. Hypothesis/Planning: Generate competing hypotheses with detailed metadata 4. Evidence Integration: Bayesian confidence updates with typed relationships 5. Pruning/Merging: Graph refinement based on confidence and impact 6. Subgraph Extraction: Focus on high-value research pathways 7. Composition: Generate structured research narratives 8. Reflection: Comprehensive quality audit and validation