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HumanMirror Forge MCP Server

answering

HumanMirror Forge is answering right now. Last checked 3 min ago. It exposes 5 tools.

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

Uptime history 38 hours of history
38 hours agonow
100.0%
Uptime 24h
91 of 91 checks
5
Tools
read from the server
240 ms
Response time
average over 24h
open, no key
Access
streamable-http

Nothing serious here today

Today is the operative word: we check HumanMirror Forge every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

run in your terminal
claude mcp add forge --transport http https://humanmirror.fr/api/forge/mcp/
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "forge": {
      "url": "https://humanmirror.fr/api/forge/mcp/"
    }
  }
}
~/.codex/config.toml
[mcp_servers.forge]
url = "https://humanmirror.fr/api/forge/mcp/"
.cursor/mcp.json
{
  "mcpServers": {
    "forge": {
      "url": "https://humanmirror.fr/api/forge/mcp/"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "forge": {
      "url": "https://humanmirror.fr/api/forge/mcp/"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

clean
clean_json
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.
dedupe
dedupe_records
Remove duplicate JSON records using exact canonical matching or selected key fields. One successful call consumes 1 HumanMirror Forge credit.
detect
detect_anomaly
Detect numeric outliers using IQR and robust summary statistics, returning machine-readable anomaly positions. One successful call consumes 1 HumanMirror Forge credit.
normalize
normalize_entity
Normalize entity names, domains, URLs and emails into stable machine-readable canonical values. One successful call consumes 1 HumanMirror Forge credit.
score
score_data_quality
Score record-array data quality using completeness, duplicate rate and field type consistency. One successful call consumes 1 HumanMirror Forge credit.

Endpoints

URLTransportStateLatencyChecked
https://humanmirror.fr/api/forge/mcp/ streamable-http answering 219 ms 3 min ago

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HumanMirror Forge — questions

Answers built from our own checks of this server.

What can HumanMirror Forge do?
It exposes 5 tools, read directly from the server on our last check. Among them: clean_json, dedupe_records, detect_anomaly, normalize_entity, score_data_quality. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is HumanMirror Forge working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 240 ms. The bar chart above shows every period we have measured.
How do I connect HumanMirror Forge?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does HumanMirror Forge need an API key?
No. HumanMirror Forge completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is HumanMirror Forge?
It answers our handshake in 240 ms on average, which is faster than 66% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.