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Metamodel

作者:metamodel-app版本 1.2.0i★ –i电脑或云端
注册名称io.github.joegra2003/metamodel

安装

概览

作者提供的说明(英文原文)

AI-callable calculators and engineering models with real formulas. No hallucinated math.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

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。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://www.metamodel.app/api/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "metamodel": {
      "command": "npx",
      "args": [
        "-y",
        "metamodel-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http metamodel https://www.metamodel.app/api/mcp

或者在你的电脑上运行

claude mcp add metamodel -- npx -y metamodel-mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "metamodel": {
      "url": "https://www.metamodel.app/api/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "metamodel": {
      "command": "npx",
      "args": [
        "-y",
        "metamodel-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "metamodel": {
      "type": "http",
      "url": "https://www.metamodel.app/api/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "metamodel": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "metamodel-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://www.metamodel.app/api/mcp

菜单名称可能因套餐和版本不同而略有差异。

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

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

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(joegra2003)不是仓库所有者(metamodel-app);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

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18613 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18613 个服务器的 15% 更新
  • 基础检查结果等于或优于此分类中其他 18613 个服务器的 16%

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。

常见问题

Metamodel 安全吗?

它在 1 项适用的基础检查中通过了 0 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.2.0)于4个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, DECIDE: Migration Discovery Risk Review

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

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

作者:formulahendry起步阶段↓ 66/周★ 44014个月前更新

在你的电脑上运行

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

作者:desktop-commander正在增长★ 2113天前更新

在云端运行✓ desktopcommander.app

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

MetaModel MCP Server

An MCP (Model Context Protocol) server that lets AI assistants use MetaModel's formula engine for certified computation. Turn published calculators, pricing tools, and engineering models into AI-callable tools — no hallucinated math.

All tools are read-only. This server fetches published project schemas and runs stateless computations. It never writes, modifies, or stores any data.

Quick Start

Remote (hosted) — easiest

No install. Add the URL as a custom connector:

https://www.metamodel.app/api/mcp
  • Claude.ai / Claude Desktop: Settings → Connectors → Add custom connector → paste the URL
  • Claude Code: claude mcp add --transport http metamodel https://www.metamodel.app/api/mcp

Works on web and mobile; no Node required. The hosted endpoint is stateless, read-only, and rate-limited.

Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{

"mcpServers": { "metamodel": { "command": "npx", "args": ["-y", "metamodel-mcp"] } } }

Claude Code
claude mcp add metamodel -- npx -y metamodel-mcp
Other MCP Clients

Any MCP-compatible client can connect via stdio:

npx -y metamodel-mcp

Tools

metamodel_list_projects

Browse available calculators and engineering models. Returns project names, descriptions, publish tokens, and model names.

  • Annotations: readOnlyHint: true
metamodel_get_schema

Discover inputs and outputs for a specific project. Returns model names, input parameters (with types, defaults, validation rules), output fields, and formulas.

  • Annotations: readOnlyHint: true
ParameterTypeRequiredDescription
tokenstringYesProject publish token (from metamodel_list_projects)
metamodel_compute

Run a computation with input values. Send inputs once — they're auto-routed to the correct model by property name. Outputs from all models are returned, including cross-model cascading.

  • Annotations: readOnlyHint: true
ParameterTypeRequiredDescription
tokenstringYesProject publish token
modelstringNoTarget a specific model. When omitted, returns all models (recommended).
inputsobjectNoInput values as key-value pairs. Auto-routed to the correct model. Omitted inputs use defaults.

Examples

Example 1: List Available Projects

Prompt: "What calculators are available on MetaModel?"

Tool call: metamodel_list_projects()

Response (truncated):

{

"projects": [ { "token": "989bc6ae-e4d7-4585-8908-bfd03358043e", "name": "Deck Builder", "description": "Interactive deck builder with code-compliant sizing. Uses LOOKUP tables for beams, frost depths, and railing requirements.", "models": ["deck", "platformModel", "beamsModel", "postsModel", "railingModel", "summaryModel"] }, { "token": "fdc5fbef-9d4b-46c3-b72d-1950e03d4bf4", "name": "Building Engineer", "description": "Complete building engineering calculator. Enter room dimensions to auto-size HVAC, electrical, and lighting systems with full cost estimation.", "models": ["room", "hvac", "electrical", "lighting", "costEstimator"] }, { "token": "363c7753-ac4b-4de4-b1e7-e4536cb2f9bb", "name": "Life Expectancy Calculator", "description": "Estimate your life expectancy based on age, sex, and lifestyle factors.", "models": ["basics", "lifestyle", "results"] } ] }

Example 2: Get Project Schema

Prompt: "What inputs does the Building Engineer calculator need?"

Tool call: metamodel_get_schema({ token: "fdc5fbef-9d4b-46c3-b72d-1950e03d4bf4" })

Response (truncated):

{

"projectName": "Building Engineer", "models": [ { "name": "room", "title": "Room Dimensions", "inputs": [ { "name": "length", "type": "number", "defaultValue": 35.26 }, { "name": "width", "type": "number", "defaultValue": 60 }, { "name": "height", "type": "number", "defaultValue": 12 } ], "outputs": [ { "name": "floorArea", "formula": "floorArea = length * width" }, { "name": "volume", "formula": "volume = length * width * height" } ] }, { "name": "hvac", "title": "HVAC Sizing", "inputs": [ { "name": "climateZone", "defaultValue": "cold" }, { "name": "btuFactor", "type": "number", "defaultValue": 25 } ], "outputs": [ { "name": "btuRequired", "formula": "btuRequired = volume@room * btuFactor" }, { "name": "tonnage", "formula": "tonnage = btuRequired / 12000" }, { "name": "annualCost", "formula": "annualCost = tonnage * 120" } ] } ] }

Note the cross-model references: volume@room means "use the volume output from the room model." MetaModel handles this cascading automatically.

Example 3: Run a Computation

Prompt: "Size the HVAC, electrical, and lighting for a 50×80 ft room with 14 ft ceilings"

Tool call: metamodel_compute({ token: "fdc5fbef-...", inputs: { length: 50, width: 80, height: 14 } })

Response:

{

"models": { "room": { "outputs": { "floorArea": 4000, "volume": 56000, "wallArea": 3640 } }, "hvac": { "outputs": { "btuRequired": 1400000, "tonnage": 116.7, "annualCost": 14000 } }, "electrical": { "outputs": { "outletsNeeded": 304, "totalAmps": 456, "circuitCount": 23 } }, "lighting": { "outputs": { "totalLumens": 201240, "fixtureCount": 51, "totalWattage": 2040 } }, "costEstimator": { "outputs": { "hvacMaterial": 415917, "electricalMaterial": 18400, "lightingMaterial": 7650, "totalLabor": 89321, "grandTotal": 531288 } } }, "metadata": { "projectName": "Building Engineer", "evaluationMs": 7.1 } }

One API call → room geometry, HVAC sizing, electrical load, lighting design, and full cost estimate. All computed from real formulas in ~7ms, not LLM-generated.

Development

To test against a local MetaModel instance:

# Clone and build

cd packages/mcp-server npm install npm run build

Run with local URL

node dist/index.js --url http://localhost:3000

Test with MCP Inspector

npx @modelcontextprotocol/inspector node dist/index.js --url http://localhost:3000

Privacy Policy

MetaModel's MCP server is stateless and read-only:

  • No authentication required — all published projects are public
  • No personal data collected — computations are anonymous
  • No data stored — inputs are evaluated and discarded immediately
  • No cookies or tracking — the server makes direct API calls to metamodel.app
  • No third-party data sharing — results go only to the requesting client

Full privacy policy: https://www.metamodel.app/privacy

About MetaModel

MetaModel lets you build calculators, pricing tools, and engineering models with a spreadsheet-like formula language. Describe what you want, AI builds it, publish in seconds. Models become API-callable computation endpoints that any AI assistant can use via this MCP server.

License

MIT

Troubleshooting

  • "Project not found or not published" — the token belongs to an unpublished or deleted project. Ask the project owner for a current publish token, or list what's available with metamodel_list_projects.
  • Unknown input names — inputs are matched by property name. Call metamodel_get_schema first; it returns the exact input names, types, and defaults for the project.
  • Inputs sent as a JSON string — pass inputs as a JSON object ({"width": 12}), not a stringified object. Stringified inputs fail with an "Unknown input" error naming a character index.
  • Rate limits (hosted endpoint) — the hosted URL is rate-limited per client. For heavy use, run the npm package locally with your own network egress.
  • Node version (local install) — the stdio server needs Node 18+.
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