Supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Description from the maker (original English)
AI training dataset marketplace: 2M+ museum artworks with Golden Codex enrichment
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Works in Claude on the web, desktop and mobile:
https://data-portal-172867820131.us-west1.run.app/mcpRun this in your terminal
claude mcp add --transport http intelligence-aeternum https://data-portal-172867820131.us-west1.run.app/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"intelligence-aeternum": {
"url": "https://data-portal-172867820131.us-west1.run.app/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"intelligence-aeternum": {
"type": "http",
"url": "https://data-portal-172867820131.us-west1.run.app/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://data-portal-172867820131.us-west1.run.app/mcpMenu names can differ slightly by plan and over time.
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We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
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It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
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AI training dataset marketplace exposed as MCP servers. 2M+ museum artworks across 7 world-class institutions with on-demand 111-field Golden Codex AI enrichment. AI agents pay with x402 USDC on Base L2. Human buyers pay with Stripe.
Connect to the MCP endpoint with any MCP-compatible client:
{
"mcpServers": { "intelligence-aeternum": { "url": "https://data-portal-172867820131.us-west1.run.app/mcp", "transport": "streamable-http" } } }
Or use the MonetizedMCP broker (x402 payment orchestration):
{
"mcpServers": { "fluora-mcp": { "url": "https://fluora-mcp-172867820131.us-west1.run.app/mcp", "transport": "streamable-http" } } }
AI Agent (Claude, GPT, etc.)
| +---> Fluora MCP (MonetizedMCP broker) [TypeScript/Express] | 3 tools: price-listing, payment-methods, make-purchase | Orchestrates x402 USDC payments via MonetizedMCP SDK | Proxies to Data Portal with payment proof | +---> Data Portal MCP (FastMCP content server) [Python/FastAPI] 13 tools: search, metadata, oracle, enrichment, compliance... Serves 2M+ artworks from Firestore manifest On-demand VLM enrichment via Gemini
Human Buyer (Browser) | +---> Data Portal REST API / golden-codex.com Stripe checkout for dataset purchases and enrichment Same artifact delivery pipeline as x402
| Tool | Paid? | Description |
|---|---|---|
search_alexandria | Free | Search 2M+ museum artworks across 7 institutions |
get_curated_metadata | Free (5/day) | Human_Standard metadata + image (500-1,200 tokens) |
get_oracle_metadata | $0.16 USDC | Hybrid_Premium 111-field VLM deep analysis + image |
get_compliance_manifest | Free | AB 2013 + EU AI Act Article 53 compliance manifests |
search_datasets | Free | Browse 7 museum dataset catalogs |
preview_dataset | Free | Sample images from a dataset |
get_pricing | Free | Calculate pricing with volume discounts |
get_agent_guide | Free | Complete API workflow documentation |
list_enrichment_tiers | Free | Available enrichment tiers and pricing |
get_enrichment_status | Free | Poll enrichment job status |
purchase_dataset | Paid | Initiate batch dataset purchase |
enrich_agent_image | From $0.16 | Submit YOUR image for Golden Codex enrichment |
deliver_artifacts | From $0.04 | On-demand artifact delivery |
| Tool | Description |
|---|---|
price-listing | Browse 7 purchasable data products with pricing |
payment-methods | Get accepted payment methods (x402 USDC for agents, Stripe for humans) |
make-purchase | Purchase data with x402 USDC micropayment |
| Tool | Description | Price |
|---|---|---|
| SD 3.5 Large + T5-XXL | Image generation on NVIDIA L4 GPU with LoRA support | TBD |
| ESRGAN x4 Upscaler | Real-ESRGAN super-resolution (1024px to 4096px in ~1.15s) | $0.10 |
| Nova (Metadata Creation) | 111-field Golden Codex VLM analysis via Gemini | $0.20 |
| Atlas (Metadata Infusion) | XMP/IPTC/C2PA embedding + SHA-256 Soulmark + hash registry | $0.10 |
| Aegis (Verification) | "Shazam for Art" — perceptual hash provenance lookup | Free |
| Archivus (Arweave Storage) | Permanent 200+ year storage — pay USDC, no AR needed | TBD |
| Mintra (NFT Minting) | Polygon NFT with full Golden Codex metadata on-chain | TBD |
| Institution | Artworks | License |
|---|---|---|
| Metropolitan Museum of Art | 375,000 | CC0 |
| Rijksmuseum | 709,000 | CC0 |
| Smithsonian Institution | 185,000 | CC0 |
| National Gallery of Art | 130,000 | CC0 |
| Art Institute of Chicago | 120,000 | CC0 |
| Cleveland Museum of Art | 61,000 | CC0 |
| Paris Collections (Louvre, Orsay, Rodin) | 45,000 | CC0 |
All source images are CC0/public domain. Enrichment metadata is commercially licensed by Metavolve Labs.
Two payment paths -- one marketplace, two buyer types:
X-PAYMENT header containing transaction proofWallet: 0xFE141943a93c184606F3060103D975662327063B
20% off all prices for 90 days (started Feb 23, 2026).
Volume discounts auto-apply per wallet:
| Endpoint | URL |
|---|---|
| Data Portal MCP | https://data-portal-172867820131.us-west1.run.app/mcp |
| Fluora MCP | https://fluora-mcp-172867820131.us-west1.run.app/mcp |
| OpenAPI Docs | https://data-portal-172867820131.us-west1.run.app/docs |
| llms.txt (Data Portal) | https://data-portal-172867820131.us-west1.run.app/llms.txt |
| llms.txt (Fluora) | https://fluora-mcp-172867820131.us-west1.run.app/llms.txt |
| .well-known/mcp.json | https://data-portal-172867820131.us-west1.run.app/.well-known/mcp.json |
| Schema (Fluora) | https://fluora-mcp-172867820131.us-west1.run.app/mcp/schema |
| Health (Data Portal) | https://data-portal-172867820131.us-west1.run.app/health |
| Health (Fluora) | https://fluora-mcp-172867820131.us-west1.run.app/health |
Our preprint *The Density Imperative* reports that dense metadata measurably affects VLM capability:
Paper: DOI: 10.5281/zenodo.18667735
intelligence-aeternum-mcp/
+-- fluora-mcp/ # MonetizedMCP broker (TypeScript/Express) | +-- src/ | | +-- main.ts # Entrypoint | | +-- server/ | | | +-- server.ts # MCP server + HTTP endpoints | | | +-- purchasableItems.ts # 7 product catalog | | | +-- paymentMethods.ts # USDC on Base L2 | | +-- config/ | | +-- config.ts # Environment config | +-- Dockerfile | +-- package.json | +-- deploy.sh | +-- data-portal/ # FastMCP content server (Python/FastAPI) | +-- main.py # FastAPI app + MCP mount | +-- mcp_server.py # 13 MCP tool definitions | +-- auth.py # x402 payment verification + rate limiting | +-- pricing.py # Pricing tiers + Genesis Epoch | +-- compliance.py # AB 2013 + EU AI Act manifests | +-- volume_tracker.py # Per-wallet volume discounts | +-- image_fetcher.py # Museum API integration | +-- routes/ | | +-- agent.py # Agent API endpoints | | +-- reader.py # Verilian Reader (decode XMP metadata) | | +-- catalog.py # Dataset catalog | | +-- orders.py # Stripe + x402 orders | | +-- enrich.py # Enrichment-as-a-Service | | +-- deliver.py # On-demand delivery | | +-- admin.py # Admin utilities | +-- Dockerfile | +-- requirements.txt | +-- deploy.sh | +-- glama.json # Glama.ai MCP directory manifest +-- README.md # This file
Every purchase auto-generates provenance manifests at no additional cost:
Full dataset access with compliance manifests starting at $8,000.
Contact: enterprise@iaeternum.ai
Pricing applies to structured AI training metadata only -- not the source images. All 2M+ source artworks are CC0/public domain from partner museums and freely available from their original APIs. What Intelligence Aeternum provides is:
Source code in this repository is provided for reference and transparency. The enrichment metadata, Golden Codex schema, and pipeline services are proprietary to Metavolve Labs, Inc. Source images from museums are CC0/public domain.
*Metavolve Labs, Inc. | San Francisco, California* *"Synthetic Data is not the problem. Synthetic Garbage is."*