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AI-callable calculators and engineering models with real formulas. No hallucinated math.
AI-callable calculators and engineering models with real formulas. No hallucinated math.
Remote endpoints: streamable-http: https://www.metamodel.app/api/mcp
Valid MCP server (2 strong, 4 medium validity signals). No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 2 finding(s) downgraded by scanner intelligence.
3 tools verified · Open access · 2 issues found
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Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
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.
No install. Add the URL as a custom connector:
https://www.metamodel.app/api/mcp
claude mcp add --transport http metamodel https://www.metamodel.app/api/mcpWorks on web and mobile; no Node required. The hosted endpoint is stateless, read-only, and rate-limited.
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 mcp add metamodel -- npx -y metamodel-mcp
Any MCP-compatible client can connect via stdio:
npx -y metamodel-mcp
metamodel_list_projectsBrowse available calculators and engineering models. Returns project names, descriptions, publish tokens, and model names.
readOnlyHint: truemetamodel_get_schemaDiscover inputs and outputs for a specific project. Returns model names, input parameters (with types, defaults, validation rules), output fields, and formulas.
readOnlyHint: true| Parameter | Type | Required | Description |
|---|---|---|---|
token | string | Yes | Project publish token (from metamodel_list_projects) |
metamodel_computeRun 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.
readOnlyHint: true| Parameter | Type | Required | Description |
|---|---|---|---|
token | string | Yes | Project publish token |
model | string | No | Target a specific model. When omitted, returns all models (recommended). |
inputs | object | No | Input values as key-value pairs. Auto-routed to the correct model. Omitted inputs use defaults. |
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"]
}
]
}
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.
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.
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
MetaModel's MCP server is stateless and read-only:
Full privacy policy: https://www.metamodel.app/privacy
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.
MIT
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