fr.humanmirror/forge

up checked 2026-11-11T08:39:29.044Z

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Publisher-provided title

HumanMirror Forge

Publisher-provided description

Five deterministic micro-tools for AI-agent data pipelines: clean, dedupe, normalize, score, detect.

Summary by lookupd

Offers deterministic JSON utilities for agent data pipelines: cleaning, deduplication, entity normalization, anomaly detection, and…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http forge https://humanmirror.fr/api/forge/mcp/

Codex, remote (streamable-http)

codex mcp add forge --url https://humanmirror.fr/api/forge/mcp/

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "forge": {
      "url": "https://humanmirror.fr/api/forge/mcp/"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Publisher-provided text

clean_json Normalize JSON deterministically: trim strings, normalize object keys, optionally remove empty values, and sort keys for stable downstream processing. One succe
dedupe_records Remove duplicate JSON records using exact canonical matching or selected key fields. One successful call consumes 1 HumanMirror Forge credit.
normalize_entity Normalize entity names, domains, URLs and emails into stable machine-readable canonical values. One successful call consumes 1 HumanMirror Forge credit.
score_data_quality Score record-array data quality using completeness, duplicate rate and field type consistency. One successful call consumes 1 HumanMirror Forge credit.
detect_anomaly Detect numeric outliers using IQR and robust summary statistics, returning machine-readable anomaly positions. One successful call consumes 1 HumanMirror Forge

Shows this live status and links here; updates hourly.

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