AI-callable calculators and engineering models with real formulas. No hallucinated math.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
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 β 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:
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):
Any MCP-compatible client can connect via stdio:
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 β 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):
Prompt: "What inputs does the Building Engineer calculator need?"
Tool call: metamodel_get_schema({ token: "fdc5fbef-9d4b-46c3-b72d-1950e03d4bf4" })
Response (truncated):
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 50Γ80 ft room with 14 ft ceilings"
Tool call: metamodel_compute({ token: "fdc5fbef-...", inputs: { length: 50, width: 80, height: 14 } })
Response:
One API call β 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:
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
metamodel_list_projects.metamodel_get_schema first; it returns the exact input names, types, and defaults for the project.inputs as a JSON object ({"width": 12}), not a stringified object. Stringified inputs fail with an "Unknown input" error naming a character index.No reviews yet β be the first to share how this listing worked for you.
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