Is the Makeupar Fashion MCP server down?

mcp-registry/com.makeupar/fashion · v1.0.1

healthy
Last checked 2026-10-21 01:54 UTC · handshake 50ms

As of 2026-10-21 01:54 UTC, the Makeupar Fashion MCP server is up with a Glimind reliability score of 76/100 (grade B). Over the last 30 days it answered 99.1% of Glimind's liveness checks. It had 45 outages in 90 days, with a median recovery of 7 minutes.

uptime (30d checks)
99.1%
checks observed
4,105
outages (90d)
45
tools
19

Provides YouCam API for virtual try-on of clothing, jewelry, and watches.

Install Makeupar Fashion MCP server

Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http makeupar-fashion-mcp-server https://mcp-api-01.makeupar.com/mcp/fashion

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "makeupar-fashion-mcp-server": {
      "type": "http",
      "url": "https://mcp-api-01.makeupar.com/mcp/fashion"
    }
  }
}

Third-party server, listed as discovered. Review its source before installing.

Agent-readiness: C (73/100)

C (73/100): 0 error(s), 4 warning(s) across 19 tool(s); ~29,370 tokens of tool definitions.
Scores higher than 9% of 15,449 MCP servers Glimind has audited.
Its tool list costs an agent ~29,370 tokens per session — more than 95% of servers.
72 → 73 since 2026-10-17
no tool-poisoning patterns
Schemas100
Descriptions38
Safety hints83
Token cost34
Client compatibility100
Protocol100
Reliability100
Stability66

What to fix (5)

6 tool definition(s) exceed ~1,200 tokens each (largest: AI-Earrings-Virtual-Try-On, ~4,488).

Move long reference material out of descriptions (link a doc or expose a resource), drop repeated examples, and collapse large enums. Trimming these to ~600 tokens saves ~18,587 tokens every session. How to fix →

Tools: AI-Earrings-Virtual-Try-On, AI-Bracelet-Virtual-Try-On, AI-Ring-Virtual-Try-On, AI-Watch-Virtual-Try-On, AI-Necklace-Virtual-Try-On and 1 more · saves ~18,587 tokens/session

15 parameter(s) across 14 tool(s) have no description.

Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →

Tools: AI-Bag-Virtual-Try-On, AI-Bracelet-Virtual-Try-On, AI-Clothes-Virtual-Try-On, AI-Earrings-Virtual-Try-On, AI-Fabric-Virtual-Try-On and 9 more

Loading this server's tool list costs an agent ~29,370 tokens before any work — more than 95% of MCP servers.

Split rarely-used tools into a separate server or a toolset the client can enable, or expose one "search tools" entry point. Many agents load every connected server's tools into every request. How to fix →

In the last 30 days: 1 tool(s) removed and 6 schema change(s).

Add new tools or optional parameters instead of renaming or removing; deprecate first (say so in the description) and remove later. Agents cache tool contracts. How to fix →

2 of 19 tool(s) carry no readOnlyHint/destructiveHint annotations.

Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →

Tools: File-Upload, upload_file

Auto-fix: 2 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 14 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fcom.makeupar%2Ffashion/fixes

File-Upload 1 change
{
  "name": "File-Upload",
  "description": "Interactive drag-and-drop widget for uploading images (JPEG, PNG) or videos (MP4). Returns file IDs for YouCam AI tools (AI-Fabric, AI-Cloth, AI-Makeup-Vto, AI-Hairstyle-Generator, AI-Skin-Analysis, etc.). /n Use when the user wants to upload or select an image/video (e.g. upload, drag & drop, choose file, pick image/video), or before any AI-* tool requiring src_file_id or ref_file_id when no file ID or URL is available. /n Also use as the mandatory fallback whenever Get-Upload-API-Info cannot c",
  "inputSchema": {
    "type": "object",
    "properties": {
      "task_type": {
        "anyOf": [
          {
            "enum": [
              "AI-Bracelet-Virtual-Try-On",
              "AI-Earrings-Virtual-Try-On",
              "AI-Necklace-Virtual-Try-On",
              "AI-Ring-Virtual-Try-On",
              "AI-Watch-Virtual-Try-On",
              "AI-Abs-Filter",
              "AI-Aging-Simulation",
              "AI-Avatar-Generator",
              "AI-Nail-Transfer",
              "AI-Smile",
              "AI-Studio-Generator",
              "AI-Bag-Virtual-Try-On",
              "AI-Beard-Style-Generator",
              "AI-Photo-Background-Blur",
              "AI-Photo-Background-Change",
              "AI-Video-Background-Replace",
              "AI-Body-Reshape",
              "AI-Breast-Augmentation-Simulator",
              "AI-Clothes-Virtual-Try-On",
              "AI-Photo-Colorize",
              "AI-Color-Correction",
              "AI-Photo-Enhance",
              "AI-Eye-Color-Lens-Virtual-Try-On",
              "AI-Fabric-Virtual-Try-On",
              "AI-Face-Attributes-and-Ratio-Analyzer",
              "AI-Face-Lift",
              "AI-Face-Reshape",
              "AI-Face-Swap",
              "AI-Video-Face-Swap",
              "AI-Fitzpatrick-Skin-Type-Analysis",
              "AI-Object-Removal-Pro",
              "AI-Bangs-Filter-Virtual-Try-On",
              "AI-Hair-Color-Virtual-Try-On",
              "AI-Wavy-Hair-Virtual-Try-On",
              "AI-Hair-Density-Detection",
              "AI-Hair-Extension-Virtual-Try-On",
              "AI-Hair-Frizziness-Detection",
              "AI-Hair-Length-Detection",
              "AI-Hair-Style-Virtual-Try-On",
              "AI-Hair-Type-Detection",
              "AI-Hair-Volume-Virtual-Try-On",
              "AI-Hat-Virtual-Try-On",
              "AI-Headshot-Generator",
              "AI-Image-Generator-Image-to-Image",
              "AI-Video-Generator-Image-to-Video",
              "AI-Photo-Lighting",
              "AI-Look-Virtual-Try-On",
              "AI-Makeup-Virtual-Try-On",
              "AI-Makeup-Transfer",
              "AI-Nail-Virtual-Try-On",
              "AI-Video-Object-Removal",
              "AI-Replace",
              "AI-Image-Extender",
              "AI-Scarf-Virtual-Try-On",
              "AI-Shoes-Virtual-Try-On",
              "AI-Skin-Analysis",
              "AI-Skin-simulation",
              "AI-Facial-Color-Tones-Analyzer",
              "AI-Photo-Background-Removal",
              "AI-Teeth-Whitening",
              "AI-Image-Generator-Text-to-Image",
              "AI-Video-Generator-Text-to-Video",
              "AI-Video-Enhancer",
              "AI-Video-Style-Transfer",
              "AI-Watermark-Removal"
            ],
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "default": null,
        "description": "Pre-select a task type. If omitted, the user picks one from the dropdown."
      }
    },
    "additionalProperties": false
  },
  "annotations": {
    "readOnlyHint": false,
    "destructiveHint": false,
    "idempotentHint": false
  },
  "title": "File upload"
}
upload_file 1 change
{
  "name": "upload_file",
  "description": "Upload base64-encoded media files to the YouCam API and return file_id(s).\n\nIf task_type is omitted, files are uploaded via the generic file API\n(POST /s2s/v2.0/file) rather than a task-specific upload path.",
  "inputSchema": {
    "type": "object",
    "required": [
      "files",
      "task_type"
    ],
    "properties": {
      "files": {
        "type": "array",
        "items": {
          "type": "object",
          "additionalProperties": true
        }
      },
      "task_type": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ]
      }
    },
    "additionalProperties": false
  },
  "annotations": {
    "readOnlyHint": false,
    "destructiveHint": false,
    "idempotentHint": false
  }
}

Get alerted

Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:

curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/com.makeupar/fashion"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/com.makeupar/fashion"}) over MCP.

Passed

Largest tool definitions

Static checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).

Operator? Fix these, then re-check live. Embed the readiness badge:

Markdown
[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Fcom.makeupar%2Ffashion.svg)](https://glimind.com/server/mcp-registry%2Fcom.makeupar%2Ffashion?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Fcom.makeupar%2Ffashion?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fcom.makeupar%2Ffashion.svg" alt="MCP agent-readiness"></a>
reStructuredText
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fcom.makeupar%2Ffashion.svg
   :target: https://glimind.com/server/mcp-registry%2Fcom.makeupar%2Ffashion?ref=badge
   :alt: MCP agent-readiness

Tool-definition log

Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:1c89031d1d9b3b21…, first seen 2026-10-17, included at leaf 3787 of 36,469. Version history · verify what your client received.

Tools (19)

Compare: most reliable media servers · most reliable knowledge servers · most reliable files servers · most reliable other servers · most reliable finance servers

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Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http glimind https://glimind.com/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "glimind": {
      "type": "http",
      "url": "https://glimind.com/mcp"
    }
  }
}

FAQ

Is the Makeupar Fashion MCP server down right now?

As of 2026-10-21 01:54 UTC, the Makeupar Fashion MCP server is up with a Glimind reliability score of 76/100 (grade B). Over the last 30 days it answered 99.1% of Glimind's liveness checks. It had 45 outages in 90 days, with a median recovery of 7 minutes.

How many tools does Makeupar Fashion MCP server provide?

Makeupar Fashion MCP server advertises 19 tools, including AI-Bag-Virtual-Try-On, AI-Bracelet-Virtual-Try-On, AI-Clothes-Virtual-Try-On, AI-Earrings-Virtual-Try-On, AI-Fabric-Virtual-Try-On.

How do I install Makeupar Fashion MCP server?

Point your MCP client at this streamable-http endpoint: https://mcp-api-01.makeupar.com/mcp/fashion

Is the Makeupar Fashion MCP server safe to connect to an AI agent?

Glimind scanned all 19 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.

Operator of Makeupar Fashion MCP server?

Status page: 90-day uptime, every outage and how long it lasted.

Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.

Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.

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