Kingy AI Facts

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 其他

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://kingy.ai/mcp

claude mcp add --transport http kingy-facts https://kingy.ai/mcp

{
  "mcpServers": {
    "kingy-facts": {
      "url": "https://kingy.ai/mcp"
    }
  }
}

{
  "servers": {
    "kingy-facts": {
      "type": "http",
      "url": "https://kingy.ai/mcp"
    }
  }
}

https://kingy.ai/mcp

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• get_model_prices

  Current per-token API prices for AI models, with context limits and official sources. The reviewed set (OpenAI, Anthropic, Google) is human-reviewed and re-verified every few hours; the extended set (other providers) is parsed automatically from official pricing pages and marked

• estimate_api_cost

  Estimate the cost of a workload (tokens per request times requests) on up to six models using Kingy's currently verified standard rates. Applies long-context tiers; models without a current verified price are listed as unavailable with the reason.

• compare_subscription_plans

  US prices, features and conditions for consumer AI subscriptions (ChatGPT, Claude, Gemini/Google AI, Copilot), each with its price check date and official sources.

• get_usage_limits

  Documented usage limits (messages, credits, rate limits, reset windows) for AI products and plans such as ChatGPT, Claude, Gemini, GitHub Copilot, Cursor, Perplexity, Midjourney and the major APIs, with review status and source. Call with no product to list covered products.

• check_model_access

  Kingy Can I Use: whether a specific model can be used for a purpose, through a route (direct API, third-party provider or open weights), in a jurisdiction (US, Canada, EU, UK). Returns yes, conditional, no or unknown with availability, licence, contract and regulatory dimensions

• find_model_changes

  Reviewed AI platform changes from official vendor sources: model retirements and deprecations, breaking API changes, migration deadlines, access and price changes, each with the affected model ids, deadline, required action and sources. Use it to check whether a model id in your

• can_i_run_locally

  Kingy's verdict on running a model on your own hardware: Yes, Yes but slow, Barely, No or Not tested yet, per machine type (16GB laptop, 24GB or 32GB GPU PC, 64GB Mac, 128GB Mac or Strix Halo, 512GB Mac Studio). Each verdict names the exact file and format, the runtime, the speed

• list_ai_shutdowns

  The Kingy AI Graveyard: dated shutdowns of AI tools, retirements of AI models and business transitions, with citations and alternatives Kingy reviewed.

• search_kingy

  Search kingy.ai articles, original tests, comparisons and tools. Returns titles, URLs, dates and short excerpts.

• what_changed_since

  Every recorded change across Kingy's datasets since a date: API price and spec changes, usage-limit and plan changes, new or updated shutdowns and retirement deadlines, new launches, and reviewed retirements or breaking changes. Each event has before/after values, the Kingy page

• estimate_monthly_bill

  Turn a daily usage pattern (requests per day, tokens per request) into a cost per day and per period for up to six models, using Kingy's currently verified rates. Models without a current price are listed as unavailable with the reason.

• find_models_that_fit

  Filter currently priced models by maximum input or output price (USD per 1M tokens), minimum context window, minimum output tokens, provider, or a Kingy home-hardware verdict, sorted by price or context. Facts only: it does not rank quality.

• list_ai_launches

  Dated AI model, tool and feature launches from the Kingy AI Launch Tracker, newest first, with categories, launch types, attributes such as open-weight or API-available, the official announcement and the Kingy record.

• get_ai_deadlines

  Model retirement and shutdown dates across direct APIs and cloud platforms (OpenAI, Anthropic, Google, Azure OpenAI, Azure AI Foundry, Amazon Bedrock, Google Vertex AI, Mistral, xAI, DeepSeek), each with certainty, scope, required action, replacement guidance and the official sou

• get_price_index

  Monthly index of AI prices: median verified API list prices per tier (frontier, mid-range, small) and typical subscription prices, with month-over-month change, constituents and the headline. Optionally the full edition history. CC BY 4.0.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

• ! 注意

  作者与仓库一致

  发布者（Cora77-ops）不是仓库所有者（Cora77-ops）；可能是其他人代为上架的

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 478 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 15 个工具描述，未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

• 星标数多于此分类中其他 18610 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 18610 个服务器的 94% 更新
• 基础检查结果等于或优于此分类中其他 18610 个服务器的 36%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

仓库中没有找到 README