MCP server that wraps the Dagster GraphQL API — manage runs, assets, schedules, sensors, and backfills from any MCP client
Nothing to run from here
Intelligence Aeternum is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
96/100
tool-list score
13
tools declared
remote
at its publisher
—
calls last 7d
What it does
AI training dataset marketplace: 2M+ museum artworks with Golden Codex enrichment
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http intelligence-aeternum-mcp https://data-portal-172867820131.us-west1.run.app/mcp
# 2 — ask your agent for something these tools do
# search_alexandria, get_curated_metadata, get_oracle_metadata and 10 more
Intelligence Aeternum costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
CCAll 2 servers
codex-curator2 servers
2 categories
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http intelligence-aeternum-mcp https://data-portal-172867820131.us-west1.run.app/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
13 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
FREE — Search 2M+ museum artworks in the Alexandria Aeternum catalog. Searches the Firestore manifest (primary) with Vertex AI fallback. Returns artifact IDs, titles, artists, dates, and classification. Use get_curated_metadata() for Human_Standard metadata + image (5 free/day). Use get_oracle_metadata() for Hybrid_Premium VLM deep analysis + image.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Free-text search (e.g., "impressionist landscape", "Rembrandt portrait"). |
| museum | string | no | Filter by museum: met, nga, chicago, cleveland, rijksmuseum, smithsonian, paris. |
| limit | integer | no | Max results (default 20, max 100). |
FREE (5/day) — Get Human_Standard metadata + image for an artifact. Returns 500-1,200 tokens of 100% human-sourced metadata PLUS a signed image download URL. Every response is a package: metadata + image together. Zero synthetic content. Sources: Museum API + Wikipedia + Wikidata + Getty ULAN. After 5 free requests per day, requires $0.05 USDC via x402.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| artifact_id | string | yes | The artifact ID (e.g., "met_10049", "nga_1234"). |
PAID — Get Hybrid_Premium metadata + image with VLM deep visual analysis. Returns 2,000-6,000 tokens including everything in Human_Standard PLUS: visual_analysis, emotional_and_thematic_journey, deep symbolism, and archetypal analysis. Image download URL included in response.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| artifact_id | string | yes | The artifact ID (e.g., "met_10049"). |
FREE — Get auto-generated regulatory compliance manifests for a dataset. Returns AB 2013 (California) and/or EU AI Act Article 53 provenance manifests. "Buy from us, get instant California + EU AI compliance."
| Parameter | Type | Required | Notes |
|---|---|---|---|
| dataset_id | string | yes | The dataset ID (e.g., "met-museum", "rijksmuseum"). |
| regulation | string | no | Which regulation: "ab2013", "eu_ai_act", or "all" (default). |
FREE — Get complete API workflow documentation for agents. Returns the full agent guide with endpoints, pricing, custom fields schema, volume discounts, and recommended workflow.
No parameter schema on file.
FREE — Search the Alexandria Aeternum dataset catalog (7 museums, 1.6M+ images).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | — |
| domain | string | no | — |
| min_images | integer | no | — |
FREE (10/day) — Preview sample images from a dataset.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| dataset_id | string | yes | — |
| limit | integer | no | — |
FREE — Get pricing information for a dataset purchase.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| dataset_id | string | yes | The dataset ID. |
| quantity | integer | no | Number of images to price. |
Initiate a dataset purchase (x402 or Stripe).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| dataset_id | string | yes | — |
| quantity | integer | yes | — |
| payment_method | string | no | — |
FREE — List available enrichment tiers for agent-submitted images. NEW: Submit YOUR images via POST /agent/enrich with custom fields. Your metadata is merged with Oracle analysis. Submitter values take priority.
No parameter schema on file.
Submit YOUR image for Golden Codex enrichment (Enrichment-as-a-Service).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image_url | string | yes | Public URL of the image to enrich. |
| tier | string | no | oracle_only, oracle_plus_infuse, or full_certified. |
| callback_url | string | no | Optional webhook URL for completion notification. |
| custom_fields | string | no | JSON string of custom metadata fields to merge. |
Create an on-demand delivery order for specific manifest artifacts. Artifacts are fetched from museum APIs, optimized, enriched (Nova + Atlas), and bundled into a single downloadable archive. Supports up to 10,000 artifacts per order with automatic volume discounts.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| artifact_ids | string | yes | Comma-separated artifact IDs (e.g., "met_436965,chicago_27992"). Up to 10,000 per order. |
| tier | string | no | Delivery tier: human_standard ($0.05) or hybrid_premium ($0.20). |
| format | string | no | Output format: 'tar.gz' (default, best for ML pipelines), 'zip' (best for humans), or 'urls' (legacy individual signed URLs). |
Poll the status of a Golden Codex enrichment job.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| job_id | string | yes | The job ID returned from the enrich endpoint. |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Intelligence Aeternum or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATool-list grade · score 96 / 100
Release 1.0.0 · scanned 20 Oct 2026
Graded from the tools this server lists, not from its source code.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score96
Findings0 threat · 0 capability
Capabilityminimal
Coveragemanifest
Verificationnot in this report
Surface digest4a63f402a11ef0d9eb85e123cc2ae9577dc98494d60c24889214bb9e71b9468c
Score vectorthreat 100 → client 96
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
Tool surfaceread
Implementation sourcenot available
Package metadatanot available
Live transportnot available
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| search_alexandria | no tags | |
| get_curated_metadata | untrusted-input | untrusted-input: keyword "download" |
| get_oracle_metadata | untrusted-input | untrusted-input: keyword "download" |
| get_compliance_manifest | no tags | |
| get_agent_guide | no tags | |
| search_datasets | no tags | |
| preview_dataset | no tags | |
| get_pricing | no tags | |
| purchase_dataset | no tags | |
| list_enrichment_tiers | no tags | |
| enrich_agent_image | no tags | |
| deliver_artifacts | no tags | |
| get_enrichment_status | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digest4a63f402a11ef0d9
Scanned2026-10-20
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish Intelligence Aeternum can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.