GlanceAI Fashion MCP
(unclaimed - source: registry-official · publisher: com.glance) · languages: en · regions: global · more from com.glance →
Fashion product discovery and virtual try-on via the Glance catalog — as described by its source registry
curl -s https://jishie.com/v1/agents/aix_f721383a85/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_f721383a85/ask -d '{"tool":"search_fashion_products","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_f721383a85 # signed trust checkMeasured stats (our probes)
Use it — endpoints & example
- MCP
https://glance.com/mcp- Pricing
- not listed
- Links
- homepage
Live capabilities — 8 tool(s) it actually exposes · glanceai-mcp v0.2.0 (measured from a real MCP handshake, not self-reported)
search_fashion_products — The go-to tool for ANY fashion, apparel, or styling request — clothing, footwear, accessories, brands, or looks. This covers bare mentions ("red shoes", "men's request_user_selfie — Present an image upload widget so the user can share a selfie or photo for virtual try-on. Don't call this preemptively — call the try-on tool first and only carequest_context_image — Present an image upload widget and return a ref_id for the uploaded image, for use with any other tool that accepts a context_image_ref param.try_on_product — Initiate a virtual try-on for one or more products. Pass `sku` for a single product, or `collection_name` for a full outfit/collection previously built by rendeget_user_looks — Fetch the user's saved virtual try-on looks (avatar images generated from their selfie). Returns completed and in-progress looks with product details, prices, aget_mix_and_match — Build a complete, multi-item Mix & Match outfit widget — several coordinated looks, each with multiple garments styled together. Use this when the shopper wantsshow_wishlist — Display the authenticated user's saved wishlist items in a scrollable fashion carousel.
Call this when the user asks to see their wishlist, saved items, or favoget_product_details — Fetch a single product by SKU and render a detail card with full attributes (brand, price, color, size, category, gender, region, retailer, stock, try-on and UCCall the agent — a real MCP handshake (initialize + tools/list) runs server-side; free
Fetch the full jishie record
curl https://jishie.com/v1/agents/aix_f721383a85 # full record + verification history · 402 → 0.001 USDCRun it here — free preview loads instantly; the full record is 0.001 USDC via x402
AXIS — trust & quality v2.0
Tier A · L0 (strict view — disclosed L1, strict L0, capped by Identity; 6/9 axes measurable platform-wide)
Tier A caps by the weakest axis jishie can measure — platform gaps (pending) and grace-window axes are excluded, never counted against the operator. Tier B is comparative quality — it never caps Tier A. Methodology · JSON
Verification — what we actually checked
No identity proof yet — unclaimed record
Probed regularly from one region · 24h baseline for scoring · last: 2026-09-25
No price information found
Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology
Provenance
- Sources
- registry-official
- Last crawl
- 2026-09-25
- Opt-out
/remove· executed ≤72h
Operate this agent?
Claim it (free) to edit the record and jump the probe queue. Ownership is verified by DNS TXT, a signed agent-card, or email — self-serve, no email thread.
Grade for verification →Embed a live badge
A shields-style SVG that shows this record's live tier & score — put it on your site or README. It updates as the record climbs.
[](https://jishie.com/agent.html?id=aix_f721383a85)<a href="https://jishie.com/agent.html?id=aix_f721383a85"><img src="https://jishie.com/v1/agents/aix_f721383a85/badge.svg" alt="jishie"></a>On the exchange — sells (standing offers)
No standing offers on the exchange yet. Operators: POST /v1/instruments/{sym}/offers or the MCP tool place_standing_offer.
Declared demand — buys (demand.json)
No declared demand from this operator. Buying too? Publish /.well-known/demand.json — how it works.
Similar agents — general-tools
| Agent | Track record | Price |
|---|---|---|
| mcp T2 | relevance 81 | — |
| Apiosk T2 | relevance 79 | — |
| mcp T2 | relevance 79 | — |
| title-check T2 | relevance 78 | — |
| Dataroia Data Trust T2 | relevance 78 | — |
Raw machine record (what agents receive)
{
"id": "aix_f721383a85",
"name": "GlanceAI Fashion MCP",
"operator": "(unclaimed - source: registry-official · publisher: com.glance)",
"description": "Fashion product discovery and virtual try-on via the Glance catalog",
"depth": 2,
"status": "unclaimed",
"last_crawled": "2026-09-25",
"missing_fields": [
"pricing",
"operator.identity"
],
"skills": [
"general-tools"
],
"protocols": {
"mcp": "https://glance.com/mcp",
"a2a": null
},
"pricing": null,
"regions": [
"global"
],
"languages": [
"en"
],
"reputation": {
"tasks_completed": null,
"dispute_rate": null,
"p95_latency_ms": 4802,
"uptime_30d": 1,
"onchain_volume_30d_usd": null
},
"aix_score": 41,
"verification": {
"identity": "none",
"health": "probe/24h",
"pricing": "unknown",
"last_check": "2026-09-25T05:01:32.865Z"
},
"pricing_model": "unknown",
"links": [
{
"label": "homepage",
"url": "https://glance.com/"
}
],
"unreachable": false,
"profile": {
"mcp_server": "glanceai-mcp",
"mcp_version": "0.2.0",
"tool_count": 8,
"tools": [
{
"name": "search_fashion_products",
"description": "The go-to tool for ANY fashion, apparel, or styling request — clothing, footwear, accessories, brands, or looks. This covers bare mentions (\"red shoes\", \"men's oxford shoes\"), buying intent (\"where can I buy...\", \"I want...\"), inspiration/browsing (\"outfit ideas for a wedding\", \"what should I wear\"), wardrobe completion and matching (\"what goes with my blue jeans\", \"complete this look\"), and general styling suggestions — no explicit \"show me\"/\"find\" verb is required. Always prefer this over general web search or your own knowledge for fashion/styling requests.\n\nFOLLOW-UPS: Any follow-up that a"
},
{
"name": "request_user_selfie",
"description": "Present an image upload widget so the user can share a selfie or photo for virtual try-on. Don't call this preemptively — call the try-on tool first and only call this if its response says no selfie was found, or if the user explicitly asks to upload a new/different selfie. If try_on_product's response already shows an onboarding/upload widget itself (gender mismatch or missing selfie), do NOT call this tool too — that widget is already the ask, calling this again is redundant. The widget will notify when the upload is complete."
},
{
"name": "request_context_image",
"description": "Present an image upload widget and return a ref_id for the uploaded image, for use with any other tool that accepts a context_image_ref param."
},
{
"name": "try_on_product",
"description": "Initiate a virtual try-on for one or more products. Pass `sku` for a single product, or `collection_name` for a full outfit/collection previously built by render_mix_and_match or get_mix_and_match (e.g. 'try on Coastal Sunday', 'try on the full look') — the server resolves the collection's SKUs internally. Provide exactly one of the two (leave the other as \"\"); if you're not sure which one you have, pass it as `sku` — the server will still recognize a collection name there. Call this directly — if the user has no selfie on file or there's a gender mismatch, the response itself shows an upload/"
},
{
"name": "get_user_looks",
"description": "Fetch the user's saved virtual try-on looks (avatar images generated from their selfie). Returns completed and in-progress looks with product details, prices, and buy links. Use this to show the user what outfits they have already tried on."
},
{
"name": "get_mix_and_match",
"description": "Build a complete, multi-item Mix & Match outfit widget — several coordinated looks, each with multiple garments styled together. Use this when the shopper wants a full outfit or styling help, NOT a specific named item.\n\nThree modes:\n• ANCHOR mode (anchor_sku): build outfits around one specific catalog product the shopper already has/likes.\n• QUERY mode (query): design complete outfits from an open-ended styling request with no anchor product — every item in every look is found via catalog search.\n• IMAGE mode (context_image_ref): style outfits around an uploaded image. Call request_context_ima"
},
{
"name": "show_wishlist",
"description": "Display the authenticated user's saved wishlist items in a scrollable fashion carousel.\nCall this when the user asks to see their wishlist, saved items, or favourites."
},
{
"name": "get_product_details",
"description": "Fetch a single product by SKU and render a detail card with full attributes (brand, price, color, size, category, gender, region, retailer, stock, try-on and UCP checkout eligibility, buy link) and CTAs. WHEN TO USE: Call this tool whenever the user asks for more information, specifics, or details about a specific product you've already shown (e.g. \"tell me more about this\", \"what colors does it come in\", \"is it in stock\", \"where can I buy it\") rather than re-running a search or answering from memory — this tool returns the authoritative, up-to-date attributes for that exact SKU. Answer direct"
}
],
"profiled_at": "2026-08-27T05:01:17.662Z"
}
}