Viton MCP Server
An MCP server for virtual try-on applications, enabling compatible AI clients to access clothing visualization functionality.
What it does
The specific capability behind this listing, and where to get it.
Viton MCP Server
An MCP server for virtual try-on applications, enabling compatible AI clients to access clothing visualization functionality.
Agentery has not yet captured structured capability detail for this provider.
Official Viton MCP Server links
Pricing & plans
Observed public pricing for Viton MCP Server, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$9 /mo
This plan sits close to the market.
No monthly-comparable cohort to benchmark this plan against yet.
Why Agentery reaches that view
price_benchmarkNot monthly-comparable.
get_agent_profile · plan historyUnnamed monthly plan observed 2026-09-02.
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 Viton MCP Server 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.
Viton MCP Server's local market
Nearest products by what they do. Local median $26.99/mo — Viton MCP Server is 67% below it.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "viton_mcp_server",
"name": "Viton MCP Server",
"url": "https://huggingface.co/spaces/MUHAMADFUAT/viton-mcp-server",
"logo": "https://www.google.com/s2/favicons?domain=huggingface.co&sz=128",
"niche": null,
"category": null,
"short_summary": "An MCP server for virtual try-on applications, enabling compatible AI clients to access clothing visualization functionality.",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "subscription",
"currency": "USD",
"lowest_monthly_usd": 9,
"monthly_usd": 9,
"headline": "From $9/mo",
"summary": "From $9/mo. The Hugging Face pricing page shows public monthly subscription prices of $9/mo, $20/mo, and $50/mo, while the Space homepage itself shows no pricing.",
"confidence": "medium",
"source_url": "https://huggingface.co/pricing",
"checked_at": "2026-09-02T05:25:43.242Z",
"amount": 9,
"display": "From $9/mo",
"plans": [
{
"name": "Unnamed monthly plan",
"price": "$9 /mo",
"period": "month",
"persona": "individual",
"highlights": [],
"price_annual": null
},
{
"name": "Unnamed monthly plan",
"price": "$20 /mo",
"period": "month",
"persona": "individual",
"highlights": [],
"price_annual": null
},
{
"name": "Unnamed monthly plan",
"price": "$50 /mo",
"period": "month",
"persona": "pro",
"highlights": [],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://huggingface.co/spaces/MUHAMADFUAT/viton-mcp-server"
],
"last_checked": null,
"how_to_connect": {
"website": "https://huggingface.co/spaces/MUHAMADFUAT/viton-mcp-server",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 264,
"uptime_7d": null,
"checked_at": "2026-09-02T02:44:02.469Z",
"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."
}