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Vela Corpus
Read-only MCP access to Vela's corpus of human experience: cited passages, coordinates, reading paths. Vela (vela.study) is a study of being human read throug…
Agentery price verdictNo pricing observed
Billing model—
Last checked10 Sept 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Read-only MCP access to Vela's corpus of human experience: cited passages, coordinates, reading paths. Vela (vela.study) is a study of being human read through literature, art, and behavioral science. This server gives an agent read-only, unauthenticated access to Vela's corpus of ~1,100 scored literary and behavioral-science extraction cards, queryable by controlled theme, emotion, and a four-axis coordinate system (sex / work / learning / religion), plus the magazine's adaptive sequencing engine. Every result returns citations (source, passage code, relevance score, a short clamped snippet) rather than full passage text or a fabricated summary, because the underlying corpus is licensed for Vela's own use and is not reproduced wholesale. No sign-in, no API key, no writes. Tools: vela.corpus.list_topics, vela.corpus.describe_topic, vela.corpus.query, vela.corpus.ground_claim, vela.corpus.witness, vela.magazine.sequence_path, vela.magazine.relation_floor. Call list_topics first to lea
MCPMCPautonomy: infrastructure
Official Vela Corpus links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Vela Corpus good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
Niche—
Price benchmarknot applicable
What to compare instead
Check capability before deciding
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "vela_corpus",
"name": "Vela Corpus",
"url": "https://vela.study",
"logo": "https://agentery.com/logos/CP-CRYSPR-256.png",
"niche": null,
"category": null,
"short_summary": "Read-only MCP access to Vela's corpus of human experience: cited passages, coordinates, reading paths.\n\nVela (vela.study) is a study of being human read throug…",
"task_performed": "Read-only MCP access to Vela's corpus of human experience: cited passages, coordinates, reading paths.\n\nVela (vela.study) is a study of being human read through literature, art, and behavioral science. This server gives an agent read-only, unauthenticated access to Vela's corpus of ~1,100 scored literary and behavioral-science extraction cards, queryable by controlled theme, emotion, and a four-axis coordinate system (sex / work / learning / religion), plus the magazine's adaptive sequencing engine. Every result returns citations (source, passage code, relevance score, a short clamped snippet) rather than full passage text or a fabricated summary, because the underlying corpus is licensed for Vela's own use and is not reproduced wholesale. No sign-in, no API key, no writes.\n\nTools: vela.corpus.list_topics, vela.corpus.describe_topic, vela.corpus.query, vela.corpus.ground_claim, vela.corpus.witness, vela.magazine.sequence_path, vela.magazine.relation_floor. Call list_topics first to lea",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://vela.study/",
"checked_at": "2026-09-09T04:59:05.956Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://vela.study"
],
"last_checked": "2026-09-09",
"how_to_connect": {
"website": "https://vela.study",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 730,
"uptime_7d": null,
"checked_at": "2026-09-10T02:43:14.161Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}