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Psychometrics MCP

↗ github.com/huacheng1985/psychometrics-mcp official repository

A local-first MCP server that provides constrained, reproducible statistical and psychometric analysis tools for AI hosts, including item analysis, factor anal…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last observation—pricing pages rechecked daily
Website liveness18 Oct 2026alive · separate from pricing

What it does

The specific capability behind this listing, and where to get it.

Psychometrics MCP

A local-first MCP server that provides constrained, reproducible statistical and psychometric analysis tools for AI hosts, including item analysis, factor anal…

MCP

Official Psychometrics MCP links

Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is Psychometrics MCP good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Hosting model—
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

Psychometrics MCP's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "psychometrics_mcp",
  "name": "Psychometrics MCP",
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  "logo": "https://github.com/huacheng1985.png?size=200",
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  "category": null,
  "short_summary": "A local-first MCP server that provides constrained, reproducible statistical and psychometric analysis tools for AI hosts, including item analysis, factor anal…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public pricing is shown for Psychometrics MCP.",
    "confidence": "medium",
    "source_url": "https://github.com/huacheng1985/psychometrics-mcp",
    "checked_at": "2026-10-16T02:39:12.978Z",
    "source_kind": "vendor",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
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  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/huacheng1985/psychometrics-mcp"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/huacheng1985/psychometrics-mcp",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": "pip install ' .[dev] ' psychometrics-mcp The command starts a stdio MCP",
    "repository": "https://github.com/huacheng1985/psychometrics-mcp",
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "self_hosted",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": "pip install ' .[dev] ' psychometrics-mcp The command starts a stdio MCP",
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "page_text:install",
        "page_text:licence"
      ],
      "excerpt": "analysis, and EFA adapters python3 -m venv .venv source .venv/bin/activate python -m pip install ' .[dev] ' psychometrics-mcp The command starts a stdio MCP server. Confi",
      "url": "https://github.com/huacheng1985/psychometrics-mcp",
      "observed_day": "2026-10-17",
      "age_days": 2,
      "hosted_evidence": null,
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": "MIT",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "page text: \"psychometric analysis Resources Readme MIT license Activity Stars 0 stars Watch\"",
    "observed_day": "2026-10-17",
    "age_days": 2
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/pricing",
      "last_observed_day": "2026-09-20",
      "age_days": 29,
      "verified_day": null,
      "note": "not verified by the page-text gate"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": null,
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 91,
    "uptime_7d": 1,
    "checked_at": "2026-10-18T02:41:37.419Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}