MetaEngine

eu.metaenginePublished by metaengine.euv1.5.0Updated Oct 24, 2026

Code generation from JSON recipes, linked type graphs, and API schemas across 11 languages.

VerifiedSTDIODesktop onlyDeveloper ToolsAI & ML

Overview

AI-generated overview

MetaEngine generates source files in 11 languages from JSON recipes, type graphs, or API schemas, writing them into your local project.

What you can do
Generate code from compact JSON recipes, full native type graphs, or local spec files, writing files to a chosen output directory with dry-run and skip-existing options. Generate typed clients from OpenAPI documents, GraphQL SDL, Protocol Buffers definitions, and SQL DDL. Load generation rules and language notes for the assistant. Support TypeScript, Python, Go, C#, Java, Kotlin, Groovy, Scala, Swift, PHP and Rust models, plus clients for Angular, React, Spring, Ktor, Reqwest and others.
When to use it
Useful when you want an assistant to scaffold models, services, adapters, or typed API clients across several languages from a compact, version-controlled spec, especially when structures repeat and templates or field maps reduce boilerplate.
Requirements
Node.js 18 or later and an MCP client with stdio support. No account or API key is needed. The optional METAENGINE_API_URL environment variable overrides the default hosted API endpoint. Network access to the hosted MetaEngine API is required, including for dry runs.
Before you install
Generation content, including any source or customCode you include, is sent to the hosted MetaEngine API for processing. Generated files are written to the local output directory; skipExisting defaults to true, but setting it to false overwrites files. Requests are limited to 250 counted types. Generated code still needs review and compilation in your project.

Installation

In SourceWeft

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

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

MetaEngine MCP Server

[npm version] [License: MIT]

Generate related source files from a type graph, a compact JSON recipe, or an API schema through your MCP client.

MetaEngine combines structured classes, interfaces, enums, collections, and generics with target-language code supplied in customCode. Explicit references connect that code to the same type graph, so the generator can resolve names and imports across the batch. Use it for models, services, adapters, or other structures you describe; the format does not prescribe an application architecture.

Install

Node.js 18 or later is required. Add the server to your MCP client's configuration:

json
{  "mcpServers": {    "metaengine": {      "command": "npx",      "args": ["-y", "@metaengine/[email protected]"]    }  }}

For Claude Code:

bash
claude mcp add metaengine -- npx -y @metaengine/[email protected]

The hosted service requires no API key or account. MCP clients include Claude Code, Claude Desktop, Cursor, Cline, and others with stdio support.

Start with a recipe

Call generate_from_recipe with these arguments:

json
{  "recipe": {    "recipeVersion": 1,    "language": "typescript",    "typeScriptOptions": { "relativeImportExtension": "js" },    "classes": [      { "name": "Customer", "id": "customer", "properties": { "id": "string", "name": "string" } },      { "name": "Order", "properties": { "customer": { "ref": "customer" }, "total": "number", "note?": "string" } }    ]  },  "outputPath": "src/models"}

The local MCP server expands the recipe into the existing generation payload, sends that payload to the MetaEngine API, and writes the returned files. Add named templates and parameter rows when structures repeat. Existing customCode, templateRefs, imports, decorators, inheritance, and generic definitions remain available.

A version-controlled recipe can be invoked with {"recipeFilePath":"specs/models.recipe.json"}. Reading a file avoids resending its contents in the tool call. Files still need to be authored or maintained.

Recipe grammar and examples · Generation guide · Language examples

Tools

ToolPurpose
generate_from_recipeExpand compact JSON fields, named templates, and local JSON input rows into the existing type graph, then generate files.
generate_codeGenerate from the complete native JSON type graph, including arbitrary target-language code with explicit references.
load_spec_from_fileRead a native generate_code payload from a local JSON file.
generate_openapiGenerate a typed client from an OpenAPI document supplied inline or by URL.
generate_graphqlGenerate a typed client from GraphQL SDL, with optional named fragments.
generate_protobufGenerate a typed client from Protocol Buffers definitions.
generate_sqlGenerate model types from SQL DDL.
metaengine_initializeLoad generation rules and language notes for the assistant.

Type and model generation supports TypeScript, Python, Go, C#, Java, Kotlin, Groovy, Scala, Swift, PHP, and Rust. Client generation targets Angular, React, TypeScript Fetch, Go net/http, Java Spring, Python httpx, C# HttpClient, Kotlin Ktor, Rust Reqwest, and Swift URLSession.

generate_code, load_spec_from_file, and generate_from_recipe share generation and file-writing behavior:

  • outputPath chooses the local output directory; the default is the MCP server's working directory.
  • skipExisting defaults to true. Set it to false to overwrite generated files.
  • dryRun: true returns generated file contents without writing them. Generation still calls the hosted API.
  • Related type references resolve within one batch. Include the complete graph in that call.
  • The hosted limit is 250 counted types per generation request. The exact count is described in the recipe guide.

For Node16/NodeNext TypeScript ESM, use typeScriptOptions: {"relativeImportExtension":"js"}. Other TypeScript output retains extensionless relative imports by default.

Where recipes help

Field maps remove repeated property metadata. Templates describe repeated structure once and bind explicit parameter values. Local JSON inputs can supply those values from a file you already maintain. The adapter executes no JavaScript from a recipe.

Savings depend on the amount of repetition, the chosen model and tokenizer, and the surrounding agent workflow. Custom business logic still needs to be written. A recorded development fixture compares a 59-interface recipe with its expanded payload; it measures JSON bytes, not model tokens or usage-limit guarantees.

The compact format keeps one readable path for common declarations and the existing native fields for advanced code. Native type expressions and customCode remain specific to their target language. Review and compile generated code in your project, including its dependencies and compiler settings.

Privacy and execution

The local MCP server runs over stdio and performs recipe expansion, declared local file reads, and generated-file writes. The hosted MetaEngine API performs ephemeral processing of the expanded generation payload and returns source files.

The server does not automatically scan or upload existing project source files. Source or customCode content explicitly included in a generation request is part of that request and is sent to the hosted MetaEngine API. Values read from recipe inputs are included only when the recipe uses them in the expanded payload.

Submitted generation content and generated file contents are not persisted or logged; anonymous operational metadata is retained. See the Privacy Policy and Terms for the processing and retention details.

Recorded agent workflows

A single MCP call can produce many files, reducing required tool operations. Model responses are a separate measure: in the recorded TypeScript runs Opus often issued one Write per response, while Sonnet usually batched the Writes. The corrected benchmark findings separate those counts and retain output-token totals and pass rates.

For reproducible measurements across languages, models, and spec shapes, see benchmark/ — a self-contained harness with the prompts, judging tools, and 15 canonical result folders. Numbers there are illustrations from one author's runs at N=5 per cell; reproduce in your own environment to see what holds for you.

Links

License

MIT

About this repository

This repository contains public documentation, examples, benchmarks, and issue tracking for MetaEngine MCP Server. The compiled npm package is available at @metaengine/mcp-server. The server implementation is maintained in a private repository.

Source: README.md at commit 140f94e

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.5.0LatestSep 16, 2026

Score

50% 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 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts