Agentery pricing intelligence · MCP server profile · Coolpc
MCP server profile · independently tracked by Agentery
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Coolpc

↗ shyuan.github.io/coolpc-mcp-server official website

MCP server providing Taiwan CoolPC computer component price queries and quote generation. Enables Claude Desktop and other MCP clients to search products, comp…

MCP serverPricing checked daily
Agentery value verdictBelow the comparable medianfrom $4/mo
Observed entry price$4/molowest observed monthly
Connection modelMCP serverMCP clients
Pricing observed15 Jul 2026latest priced read of the page
Website liveness29 Oct 2026alive · separate from pricing

What it does

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

Coolpc

MCP server providing Taiwan CoolPC computer component price queries and quote generation. Enables Claude Desktop and other MCP clients to search products, comp…

MCP

Pricing & plans

Observed public pricing for Coolpc, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
Team · market position

$4 /mo

98.2% below the Team flat median. Basis: Team flat plans in AI Shopping Assistant, same buyer tier and billing unit, 5 providers, USD monthly, observed 2026-07-15. Separately, across all Team-tier plans in the niche regardless of billing unit (17 providers): cheaper than 7 of them.
this agent · $4
$199median $226$299
pricing observed 2026-07-15 · page rechecked daily · source evidence retained
What should this agent charge?

The current price sits below the comparable median.

pricing recommendation
$4
$199–$299
$226

$4 sits below the observed Team flat range ($199–$299) — around the 0th percentile of observed prices. It reads as a value play; make sure the margin still works.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

98.2% below the Team flat median.

get_provider_profile · plan history

Team observed 2026-07-15.

pricing recommendation

~0th percentile of comparable Team flat plans (approximate: interpolated between the cohort’s observed quartiles, 5 providers).

confidence

medium; source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$4 / month
$4 lowestmedian $226$678 highest
Competitive value position. At $4/month, this plan is 98.2% below the Team flat median (5 providers).
1st
-98.2%
$199–$299

Is Coolpc good value?

How its price compares with genuinely comparable providers.

Below the comparable median

Below the comparable median for its buyer tier.

Basis: Team flat plans at the same billing unit (5 providers), USD monthly, pricing observed 2026-07-15. The Team plan ($4/mo) sits 98.2% below that median of $226. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.

Observed commercial price$4/mo
Hosting model—
Price benchmarkapplicable
How it compares

Compared with AI Shopping Assistant

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.

View the full niche →

Coolpc'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": "coolpc_mcp_server",
  "name": "Coolpc",
  "url": "https://shyuan.github.io/coolpc-mcp-server",
  "logo": "https://github.com/shyuan.png?size=200",
  "niche": "ai-shopping-assistant",
  "category": "consumer-personal",
  "short_summary": "MCP server providing Taiwan CoolPC computer component price queries and quote generation. Enables Claude Desktop and other MCP clients to search products, comp…",
  "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 SaaS pricing is shown in the supplied repository homepage content.",
    "confidence": "medium",
    "source_url": "https://shyuan.github.io/coolpc-mcp-server",
    "checked_at": "2026-10-24T01:33:52.650Z",
    "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://shyuan.github.io/coolpc-mcp-server",
    "https://github.com/shyuan/coolpc-mcp-server"
  ],
  "last_checked": "2026-10-24",
  "profile_checked": null,
  "price_checked": "2026-10-24",
  "how_to_connect": {
    "website": "https://shyuan.github.io/coolpc-mcp-server",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": "npm install 3. 產生 product.json 從原價屋網站取得最新資料並產生產品資料檔: # 方法一:直接下載最新資料並解析",
    "repository": "https://github.com/shyuan/coolpc-mcp-server",
    "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": "npm install 3. 產生 product.json 從原價屋網站取得最新資料並產生產品資料檔: # 方法一:直接下載最新資料並解析",
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "page_text:install"
      ],
      "excerpt": "析) Node.js 18+ (用於 MCP Server) Claude Desktop (作為 MCP 客戶端) 2. 安裝相依性 # 安裝 Node.js 相依性 npm install 3. 產生 product.json 從原價屋網站取得最新資料並產生產品資料檔: # 方法一:直接下載最新資料並解析 (推薦) python3 c",
      "url": "https://shyuan.github.io/coolpc-mcp-server",
      "observed_day": "2026-10-28",
      "age_days": 1,
      "hosted_evidence": null,
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": null,
    "note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
    "evidence": null
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/pricing",
      "last_observed_day": "2026-09-20",
      "age_days": 39,
      "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": 822,
    "uptime_7d": 1,
    "checked_at": "2026-10-29T02:34:06.951Z",
    "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."
}