Metamodel

io.github.joegra2003Published by GitHub account joegra2003v1.2.0Updated Oct 28, 2026

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

VerifiedStreamable HTTPWeb executableDeveloper ToolsData & Analytics

Overview

AI-generated overview

Lets an assistant browse published MetaModel calculators, read their input/output schemas, and run formula-based computations instead of estimating math itself.

What you can do
  • List published calculators and engineering models, with names, descriptions, tokens and model names
  • Fetch a project's schema: model names, input parameters with types, defaults and validation, output fields and formulas
  • Export a project as human-readable KN notation text, a lossy spelling of the model
  • Run a computation by sending input values once; they are auto-routed by property name and outputs from all models, including cross-model cascading, are returned
When to use it
Useful when an assistant needs deterministic, formula-backed numbers — sizing, pricing, cost estimates, engineering or lifestyle calculators — rather than LLM-generated arithmetic, and when the relevant model is already published on MetaModel.
Requirements
Either the hosted remote endpoint (no install, works on web and mobile) or the local npm package metamodel-mcp run via npx over stdio, which needs Node 18 or later. No authentication, API keys or environment variables are declared; published projects are public and identified by a publish token.
Before you install
Tools are described as read-only and stateless, with inputs evaluated and discarded; the hosted endpoint is rate-limited per client. Publish tokens from the listing are needed to call schema and compute tools, and unpublished or deleted projects fail with a not-found error. Results are only as good as the published model, and presentation-only models should be ignored for analysis.

Installation

In SourceWeft

  1. Open Metamodel in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.joegra2003%2Fmetamodel/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

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

README

MetaModel MCP Server

[npm] [MCP] [license]

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):

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

Claude Code

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

Other MCP Clients

Any MCP-compatible client can connect via stdio:

bash
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):

json
{  "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):

json
{  "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:

json
{  "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:

bash
# Clone and buildcd packages/mcp-servernpm installnpm run build
# Run with local URLnode dist/index.js --url http://localhost:3000
# Test with MCP Inspectornpx @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+.

Source: README.md at commit 3faf819

Tools

4

metamodel_list_projects

Browse available MetaModel calculators and engineering models. Returns project names, descriptions, tokens, and model names for each published project.

Takes no parameters.

metamodel_get_schema

Get the input/output schema for a published MetaModel project. Returns model names, input parameters (with types, defaults, validation), and output fields. Models marked "presentation": true are display scaffolding (3D scenes etc.) — skip them for engineering analysis. Use a token from metamodel_list_projects.

Parameterstokenrequired

metamodel_export_kn

Export a published MetaModel project as KN notation — a human-readable text spelling of the model: nested Component blocks, "Name: value" literals, "Name: expression" formulas, dotted cross-references. Deliberately lossy (rules, indicators, validations, table data and views are omitted). Useful for reading or diffing the engineering knowledge behind a project.

Parameterstokenrequired

metamodel_compute

Run a computation on a MetaModel project. Send input values and get computed outputs from all models. Inputs are auto-routed to the correct model by property name. Models marked "presentation": true in results are display scaffolding, not engineering outputs. Use metamodel_get_schema first to discover available inputs and outputs.

Parametersmodeltokenrequiredinputs

Version history

1
  1. v1.2.0LatestSep 16, 2026

Score

90% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.