Hologram Model Hub
Find open models and get download links with the SHA-256 each file must have.
使うべきか
品質と安全性
検出事項（1）
- LOWTool 'get_model' description lacks action verbget_model 内
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"model-hub": {
"url": "https://hub.uor.foundation/mcp"
}
}
}リモートエンドポイント
https://hub.uor.foundation/mcpstreamable-httpできること
ツール一覧
ツール（3）
🟢search_models(query, task, license, format, max_weights_gb, ...)
Find open models in the hub's index. Every result has all of its files addressed by SHA-256. Returns id, task, library, licence, parameters, weight size, downloads and where the bytes live.
入力スキーマ
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Part of the model id, e.g. 'qwen' or 'whisper'."
},
"task": {
"type": "string",
"description": "Hugging Face pipeline tag, e.g. text-generation, text-to-speech, feature-extraction."
},
"license": {
"type": "string",
"description": "SPDX-style licence id, e.g. apache-2.0, mit."
},
"format": {
"type": "string",
"description": "gguf, safetensors, mlx, onnx …"
},
"max_weights_gb": {
"type": "number",
"description": "Upper bound on the total size of the weights."
},
"sort": {
"type": "string",
"enum": [
"trending",
"downloads",
"likes",
"newest"
],
"default": "trending"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"default": 10
}
},
"additionalProperties": false
}🟢get_model(id)
The pinned revision of one model, its files with size and SHA-256, its GGUF quantisations if any, and its sources with their current health.
入力スキーマ
{
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "org/name, as on Hugging Face."
}
},
"required": [
"id"
],
"additionalProperties": false
}🟢resolve_file(id, path, quant)
Where to download one file of a model right now, the SHA-256 it must have, how to check it, and the commands that hand it to an engine (hf, Ollama, llama.cpp). Give either a path or, for GGUF models, a quantisation such as Q4_K_M.
入力スキーマ
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"path": {
"type": "string"
},
"quant": {
"type": "string"
}
},
"required": [
"id"
],
"additionalProperties": false
}コミュニティ
エビデンス