Intelligence Aeternum
Let your agent browse and query a large museum-art training dataset marketplace when you are researching fine-tuning data, creative AI products, or cultural archive use cases.
Overview
Intelligence Aeternum is a MCP server for the Idea phase that connects agents to a hosted AI training dataset marketplace of 2M+ museum artworks with Golden Codex enrichment.
What is this MCP server?
- Remote streamable-http MCP endpoints on Google Cloud Run (data portal and Fluora MCP URLs in server schema).
- Marketplace positioning around 2M+ museum artworks with Golden Codex enrichment for AI training and research.
- No local npm package in the published schema—connect from MCP clients that support HTTP remotes.
- Backed by Intelligence Aeternum / iaeternum.ai with GitHub source at codex-curator/intelligence-aeternum-mcp.
- Suited to dataset discovery workflows for generative art, RAG, or fine-tuning experiments.
- 2M+ museum artworks advertised in server description.
- Golden Codex enrichment called out in marketplace positioning.
- Two streamable-http remote MCP URLs in server.schema (data portal and Fluora).
What problem does it solve?
Builders exploring art or culture ML struggle to find curated, large-scale training data and a consistent way for agents to query that corpus.
Who is it for?
Solo builders evaluating fine-tuning or generative-art ideas who want agent-driven access to a museum-scale artwork dataset marketplace.
Skip if: Teams that need generic CRUD app APIs, local-only MCP with no remote dependency, or builders with no ML dataset use case.
What do I get? / Deliverables
After you register the remote MCP URLs in your client, your agent can query the Intelligence Aeternum data portal during research instead of manual dataset hunts.
- Agent-queryable access to the Intelligence Aeternum data portal via MCP.
- Research workflows over 2M+ museum artwork records with Golden Codex enrichment.
- Secondary Fluora MCP remote endpoint for extended portal capabilities per repository layout.
Recommended MCP Servers
Journey fit
Idea is the canonical shelf because the primary value is discovering and evaluating dataset inventory before you commit to a model or product direction. Research fits a remote data-portal MCP aimed at 2M+ artworks and Golden Codex enrichment rather than day-to-day app coding.
How it compares
Remote dataset-marketplace MCP, not a code-generation skill or a multi-utility developer API bundle.
Common Questions / FAQ
Who is Intelligence Aeternum for?
It is for developers and researchers using AI agents who need to explore a large museum-art dataset marketplace for training, RAG, or creative AI product ideation.
When should I use Intelligence Aeternum?
Use it in Idea and Validate when you are comparing dataset scale, enrichment quality, and fit before prototyping models or integrations that depend on cultural imagery metadata.
How do I add Intelligence Aeternum to my agent?
Add the published streamable-http remote MCP endpoints from the server schema (data-portal and Fluora URLs) in a client that supports HTTP MCP, and follow access guidance on https://iaeternum.ai.