MCP server

Metamodel

io.github.joegra2003/metamodel

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Working at last checkAbout 662 tokens per request once connected4 tools

https://www.metamodel.app/api/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 4
Token cost: About 662 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.metamodel]
url = "https://www.metamodel.app/api/mcp"

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add metamodel https://www.metamodel.app/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"metamodel","server_url":"https://www.metamodel.app/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"metamodel","server_url":"https://www.metamodel.app/api/mcp"}

metamodel_compute ~252 tokens
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 discov
metamodel_export_kn ~168 tokens
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
metamodel_get_schema ~162 tokens
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_lis
metamodel_list_projects ~80 tokens
Browse available MetaModel calculators and engineering models. Returns project names, descriptions, tokens, and model names for each published project.

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