The Doll Scout · Collecting Tools

TDS collectible-toy guides, blind-box odds, display fit and read-only tool discovery.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
75%
Naming quality
86%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,752Tokens (tool definitions)
~973 BTypical response size
Moderate attention impact (1.37% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "dollscout-collecting": {
      "url": "https://thedollscout.com/mcp"
    }
  }
}

Remote endpoints

https://thedollscout.com/mcpstreamable-http

What it can do

Tool inventory

Tools (10)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢labubu_rarity_odds

Commonly reported secret/chase odds for Labubu / The Monsters blind-box series, by series format (6-figure, 12-figure, collabs, glow variants), with per-row sources. The box-printed odds for a specific series outrank every row returned here, and the result says so.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢labubu_fake_signals

The eight authenticity checks for a Labubu figure (teeth count, face finish, box finish, anti-counterfeit seal, figure markings, build quality, price floor, seller of record), each with its named public sources. Compiled signals, not a guarantee; limitations are included.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢secret_pull_probability(oddsN, boxes)

Probability of pulling at least one secret across N blind boxes at printed odds of 1-in-oddsN, plus the box counts a 50% and 90% chance require. Independent single-box model — sealed whole-case allocation can differ, and the result carries that caveat.

Input Schema

{
  "type": "object",
  "properties": {
    "oddsN": {
      "type": "integer",
      "description": "The N in printed odds 1:N, e.g. 72",
      "minimum": 2,
      "maximum": 100000
    },
    "boxes": {
      "type": "integer",
      "description": "Number of blind boxes to be opened, e.g. 12",
      "minimum": 1,
      "maximum": 100000
    }
  },
  "required": [
    "oddsN",
    "boxes"
  ],
  "additionalProperties": false
}
🟢define_labubu_term(term)

Plain-language definition of a Labubu / blind-box collecting term (blind box, series, regular, secret/chase, printed odds, case, glow variant, vinyl plush pendant, Lafufu, seller of record). Matches the term or its aliases; an unknown term returns the list of available terms, honestly.

Input Schema

{
  "type": "object",
  "properties": {
    "term": {
      "type": "string",
      "description": "The term to define, e.g. 'lafufu' or 'printed odds'",
      "maxLength": 120
    }
  },
  "required": [
    "term"
  ],
  "additionalProperties": false
}
🟢calculate_style_probability(target, boxes, regularStyles, secretOddsN, probabilityPercent)

Calculate independent-box chances for one regular style, a secret, or a user-supplied per-style probability. Required by mode: regular needs regularStyles and secretOddsN; secret needs secretOddsN; printed needs probabilityPercent. Regular mode assumes equally likely regular styles and replacement by a secret; not official series odds or sealed-case allocation.

Input Schema

{
  "type": "object",
  "properties": {
    "target": {
      "type": "string",
      "enum": [
        "regular",
        "secret",
        "printed"
      ]
    },
    "boxes": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100000
    },
    "regularStyles": {
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "secretOddsN": {
      "type": "integer",
      "minimum": 2,
      "maximum": 100000
    },
    "probabilityPercent": {
      "type": "number",
      "minimum": 0,
      "maximum": 100
    }
  },
  "required": [
    "target",
    "boxes"
  ],
  "additionalProperties": false
}
🟢find_collector_tools(task, language)

Find TDS collecting tools and guides by task. Returns canonical links, supported languages, inputs and which functions MCP can actually call. Browser-only collection records are never read.

Input Schema

{
  "type": "object",
  "properties": {
    "task": {
      "type": "string",
      "enum": [
        "all",
        "odds",
        "display",
        "collection",
        "guides",
        "budget",
        "progress"
      ],
      "default": "all"
    },
    "language": {
      "type": "string",
      "enum": [
        "en",
        "de",
        "zh"
      ],
      "default": "en",
      "description": "Interface language; some browser-only tools are available only in EN/DE."
    }
  },
  "additionalProperties": false
}
🟢get_collecting_guide(brand, language)

Read a published guide for one of eight collectible brands with official source links, review date and limitations. Not current stock, resale valuation or authentication.

Input Schema

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string",
      "enum": [
        "labubu",
        "skullpanda",
        "jellycat",
        "sonny-angel",
        "smiski",
        "hirono",
        "dimoo",
        "molly"
      ]
    },
    "language": {
      "type": "string",
      "enum": [
        "en",
        "de",
        "zh"
      ],
      "default": "en",
      "description": "Interface language; some browser-only tools are available only in EN/DE."
    }
  },
  "required": [
    "brand"
  ],
  "additionalProperties": false
}
🟢plan_display_fit(width, depth, height, itemWidth, itemDepth, ...)

Calculate a uniform single-layer rectangular layout for toy footprints inside a display case. All dimensions use the same unit. Tests 90-degree rotation when allowed; not 3D packing or a safety/load certification.

Input Schema

{
  "type": "object",
  "properties": {
    "width": {
      "type": "number",
      "exclusiveMinimum": 0,
      "maximum": 100000
    },
    "depth": {
      "type": "number",
      "exclusiveMinimum": 0,
      "maximum": 100000
    },
    "height": {
      "type": "number",
      "exclusiveMinimum": 0,
      "maximum": 100000
    },
    "itemWidth": {
      "type": "number",
      "exclusiveMinimum": 0,
      "maximum": 100000
    },
    "itemDepth": {
      "type": "number",
      "exclusiveMinimum": 0,
      "maximum": 100000
    },
    "itemHeight": {
      "type": "number",
      "exclusiveMinimum": 0,
      "maximum": 100000
    },
    "gap": {
      "type": "number",
      "minimum": 0,
      "maximum": 100000,
      "description": "Space between adjacent items; same unit as all dimensions."
    },
    "rotate": {
      "type": "boolean",
      "default": true
    }
  },
  "required": [
    "width",
    "depth",
    "height",
    "itemWidth",
    "itemDepth",
    "itemHeight",
    "gap"
  ],
  "additionalProperties": false
}
🟢compare_blind_box_budget(budget, boxCost, fixedCost, confirmedCost, probabilityPercent)

Compare a capped independent blind-box budget with a user-supplied all-in confirmed-figure quote. Returns success and failure chances, maximum spend and expected spend when stopping at the first target. One currency, costs rounded to cents; not a purchase recommendation or price lookup.

Input Schema

{
  "type": "object",
  "properties": {
    "budget": {
      "type": "number",
      "minimum": 0,
      "maximum": 1000000
    },
    "boxCost": {
      "type": "number",
      "minimum": 0.01,
      "maximum": 1000000
    },
    "fixedCost": {
      "type": "number",
      "minimum": 0,
      "maximum": 1000000
    },
    "confirmedCost": {
      "type": "number",
      "minimum": 0,
      "maximum": 1000000
    },
    "probabilityPercent": {
      "type": "number",
      "minimum": 0,
      "maximum": 100
    }
  },
  "required": [
    "budget",
    "boxCost",
    "fixedCost",
    "confirmedCost",
    "probabilityPercent"
  ],
  "additionalProperties": false
}
🟢estimate_collection_progress(regularStyles, ownedStyles, boxes, secretPercent)

Estimate new distinct regular styles, repeated regular draws and secret draws from independent boxes. Assumes equally likely regular styles after combined secret probability is removed. Owned means distinct regular styles from this exact series. Not sealed-case allocation or completion probability.

Input Schema

{
  "type": "object",
  "properties": {
    "regularStyles": {
      "type": "integer",
      "minimum": 1,
      "maximum": 1000
    },
    "ownedStyles": {
      "type": "integer",
      "minimum": 0,
      "maximum": 1000
    },
    "boxes": {
      "type": "integer",
      "minimum": 0,
      "maximum": 100000
    },
    "secretPercent": {
      "type": "number",
      "minimum": 0,
      "maximum": 100
    }
  },
  "required": [
    "regularStyles",
    "ownedStyles",
    "boxes",
    "secretPercent"
  ],
  "additionalProperties": false
}

Community

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Evidence

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