HumanMirror Forge
Five deterministic micro-tools for AI-agent data pipelines: clean, dedupe, normalize, score, detect.
使うべきか
品質と安全性
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": {
"forge": {
"url": "https://humanmirror.fr/api/forge/mcp/"
}
}
}リモートエンドポイント
https://humanmirror.fr/api/forge/mcp/streamable-httpできること
ツール一覧
ツール（5）
🔴clean_json(input, options)
Normalize JSON deterministically: trim strings, normalize object keys, optionally remove empty values, and sort keys for stable downstream processing. One successful call consumes 1 HumanMirror Forge credit.
入力スキーマ
{
"type": "object",
"properties": {
"input": {
"description": "Any JSON value to normalize."
},
"options": {
"type": "object",
"properties": {
"trim_strings": {
"type": "boolean"
},
"remove_empty": {
"type": "boolean"
},
"normalize_keys": {
"type": "boolean"
},
"sort_keys": {
"type": "boolean"
}
},
"additionalProperties": false
}
},
"required": [
"input"
],
"additionalProperties": false
}🔴dedupe_records(input, options)
Remove duplicate JSON records using exact canonical matching or selected key fields. One successful call consumes 1 HumanMirror Forge credit.
入力スキーマ
{
"type": "object",
"properties": {
"input": {
"type": "array",
"items": {
"type": "object"
},
"description": "Array of JSON records."
},
"options": {
"type": "object",
"properties": {
"fields": {
"type": "array",
"items": {
"type": "string"
}
}
},
"additionalProperties": false
}
},
"required": [
"input"
],
"additionalProperties": false
}⚪normalize_entity(input)
Normalize entity names, domains, URLs and emails into stable machine-readable canonical values. One successful call consumes 1 HumanMirror Forge credit.
入力スキーマ
{
"type": "object",
"properties": {
"input": {
"description": "Entity name string or object with fields such as name, domain, url and email."
}
},
"required": [
"input"
],
"additionalProperties": false
}⚪score_data_quality(input)
Score record-array data quality using completeness, duplicate rate and field type consistency. One successful call consumes 1 HumanMirror Forge credit.
入力スキーマ
{
"type": "object",
"properties": {
"input": {
"type": "array",
"items": {
"type": "object"
},
"description": "Non-empty array of JSON records."
}
},
"required": [
"input"
],
"additionalProperties": false
}⚪detect_anomaly(input)
Detect numeric outliers using IQR and robust summary statistics, returning machine-readable anomaly positions. One successful call consumes 1 HumanMirror Forge credit.
入力スキーマ
{
"type": "object",
"properties": {
"input": {
"type": "array",
"items": {
"type": "number"
},
"description": "Numeric series."
}
},
"required": [
"input"
],
"additionalProperties": false
}コミュニティ
エビデンス