Maginary
maginary is an image/video generator with a midjourney-like prompt syntax, using 40+ underlying models and acts like an abstractized openrouter for multimedia.…
What it does
The specific capability behind this listing, and where to get it.
maginary is an image/video generator with a midjourney-like prompt syntax, using 40+ underlying models and acts like an abstractized openrouter for multimedia. it uses a midjourney-style --flag prompt DSL over an async HTTP API. this server: - surfaces the full parameter catalog to your LLM so it can pick the right flags - offers a one-shot generate tool that hits POST /api/gens/ - offers get_generation + wait_for_generation for polling to a terminal state - works offline for the catalog tools (ships a bundled snapshot; refreshed from the live docs endpoint at startup when reachable) hosted Streamable HTTP at [mcp.maginary.ai/mcp](https://mcp.maginary.ai/mcp) (zero install) plus a PyPI stdio package, or uvx maginary-mcp llms-install.md covers both 16 tools: generate / upscale / vary / animate, live --flag catalog, in-chat signup, billing x402 pay-per-use for agents with a wallet MIT
Official Maginary links
Pricing & plans
Observed public pricing for Maginary, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.07 /
The current price sits below the comparable median.
$0.07 is positioned against a $25–$98 observed middle market.
Why Agentery reaches that view
price_benchmark99.9% below the median.
get_provider_profile · plan historyper observed 2026-10-24.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Maginary good value?
How its price compares with genuinely comparable providers.
Not enough evidence yet to call it good — or poor — value.
Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.
Check capability before deciding
Compare language support, semantic depth, installation model against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Maginary's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "maginary_mcp",
"name": "Maginary",
"url": "https://maginary.ai/mcp",
"logo": "https://agentery.com/logos/CP-SJRR2G.svg",
"niche": "ai-image-generation",
"category": "media-entertainment",
"short_summary": "maginary is an image/video generator with a midjourney-like prompt syntax, using 40+ underlying models and acts like an abstractized openrouter for multimedia.…",
"task_performed": "maginary is an image/video generator with a midjourney-like prompt syntax, using 40+ underlying models and acts like an abstractized openrouter for multimedia. it uses a midjourney-style --flag prompt DSL over an async HTTP API.\n\nthis server:\n- surfaces the full parameter catalog to your LLM so it can pick the right flags\n- offers a one-shot generate tool that hits POST /api/gens/\n- offers get_generation + wait_for_generation for polling to a terminal state\n- works offline for the catalog tools (ships a bundled snapshot; refreshed from the live docs endpoint at startup when reachable)\n\nhosted Streamable HTTP at [mcp.maginary.ai/mcp](https://mcp.maginary.ai/mcp) (zero install) plus a PyPI stdio package, or uvx maginary-mcp\nllms-install.md covers both\n16 tools: generate / upscale / vary / animate, live --flag catalog, in-chat signup, billing\nx402 pay-per-use for agents with a wallet\n\nMIT",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP",
"X402"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "usage",
"source_kind": "vendor",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "$0.07 per unit (usage-based)",
"commercial": {
"rates": [
{
"line": "Usage",
"per": "per unit",
"text": "$0.07 per unit"
}
],
"currency": "USD",
"lines": [
{
"name": "Usage",
"price": "0.07USD",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
}
]
},
"summary": "$0.07 per unit (usage-based). The homepage exposes a usage-based offer of 0.07 USD, while a separate $10 figure appears without enough context to identify its billing unit or plan.",
"confidence": "low",
"source_url": "https://maginary.ai/mcp",
"checked_at": "2026-10-24T02:18:06.471Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Usage",
"price": "0.07USD",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Structured offer observed on the homepage"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://maginary.ai/mcp"
],
"last_checked": "2026-10-24",
"profile_checked": "2026-09-16",
"price_checked": "2026-10-24",
"how_to_connect": {
"website": "https://maginary.ai/mcp",
"docs": null,
"mcp": {
"endpoint": "https://mcp.maginary.ai/mcp",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"maginary_mcp\": {\n \"url\": \"https://mcp.maginary.ai/mcp\"\n }\n }\n}"
},
"a2a": null,
"api": null,
"protocols": [
"MCP",
"x402"
],
"install": "uvx\",",
"repository": null
},
"deployment": {
"model": "both",
"both_offered": false,
"hosted_endpoint": "https://mcp.maginary.ai/mcp",
"install": "uvx\",",
"note": "Offered both ways: a vendor-hosted endpoint AND a self-run install are documented.",
"evidence": {
"sources": [
"page_text:hosted",
"page_text:install"
],
"excerpt": "e desktop. your agent can sign up, generate, upscale, animate (and pay for itself). https://mcp.maginary.ai/mcp add to cursor add to vs code catalog tools work with no",
"url": "https://maginary.ai/mcp",
"observed_day": "2026-10-24",
"age_days": 1,
"hosted_evidence": "vendor endpoint URL on the page",
"rule": "deploy-v1"
}
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"source_url": "https://maginary.ai/mcp",
"last_observed_day": "2026-10-24",
"age_days": 1,
"verified_day": "2026-10-24",
"note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 387,
"uptime_7d": 1,
"checked_at": "2026-10-24T02:38:39.224Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}