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MCP server profile · independently tracked by Agentery
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House Of Wisdom

↗ github.com/EzzoHamdan/house-of-wisdom-mcp official repository

An MCP server that queries multiple AI model families in parallel and returns separate, unmerged perspectives. Supports OpenAI, Anthropic, Google, DeepSeek, Ol…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last observation29 Oct 2026pricing pages rechecked daily
Website liveness29 Oct 2026alive · separate from pricing

What it does

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

House Of Wisdom

An MCP server that queries multiple AI model families in parallel and returns separate, unmerged perspectives. Supports OpenAI, Anthropic, Google, DeepSeek, Ol…

MCP
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 House Of Wisdom 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.

View the full niche →

House Of Wisdom'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": "house_of_wisdom_mcp",
  "name": "House Of Wisdom",
  "url": "https://github.com/EzzoHamdan/house-of-wisdom-mcp",
  "logo": "https://github.com/EzzoHamdan.png?size=200",
  "niche": "multi-agent-orchestrator",
  "category": "developer-tools-infra",
  "short_summary": "An MCP server that queries multiple AI model families in parallel and returns separate, unmerged perspectives. Supports OpenAI, Anthropic, Google, DeepSeek, Ol…",
  "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 or paid plans are shown on the available homepage, and no pricing page was provided.",
    "confidence": "medium",
    "source_url": "https://github.com/EzzoHamdan/house-of-wisdom-mcp",
    "checked_at": "2026-10-28T02:06:50.846Z",
    "source_kind": "vendor",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/EzzoHamdan/house-of-wisdom-mcp"
  ],
  "last_checked": "2026-10-28",
  "profile_checked": null,
  "price_checked": "2026-10-28",
  "how_to_connect": {
    "website": "https://github.com/EzzoHamdan/house-of-wisdom-mcp",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": "uvx , and at least two enabled models. Reflects code as of — 2026-07-28, master , p",
    "repository": "https://github.com/ezzohamdan/house-of-wisdom-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": "uvx , and at least two enabled models. Reflects code as of — 2026-07-28, master , p",
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "page_text:install",
        "page_text:licence"
      ],
      "excerpt": "tion . Go to Sharp edges when something surprises you. Requires — Python 3.10+, uv / uvx , and at least two enabled models. Reflects code as of — 2026-07-28, master , pac",
      "url": "https://github.com/EzzoHamdan/house-of-wisdom-mcp",
      "observed_day": "2026-10-28",
      "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: \"tible wisdom-of-crowds Resources Readme MIT license Activity Stars 4 stars Watch\"",
    "observed_day": "2026-10-28",
    "age_days": 2
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/pricing",
      "last_observed_day": "2026-07-26",
      "age_days": 96,
      "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": 102,
    "uptime_7d": 1,
    "checked_at": "2026-10-29T02:37:35.974Z",
    "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."
}