MetaEngine
eu.metaengine由 metaengine.eu 發布v1.5.0更新於 Oct 24, 2026
Code generation from JSON recipes, linked type graphs, and API schemas across 11 languages.
概覽
MetaEngine 可依 JSON 配方、型別圖或 API 結構描述,以 11 種語言產生原始碼檔案,並寫入本機專案。
- 可以做什麼
- 從精簡 JSON 配方、完整原生型別圖或本機規格檔產生程式碼,寫入指定輸出目錄,支援試執行與略過既有檔案。從 OpenAPI 文件、GraphQL SDL、Protocol Buffers 定義與 SQL DDL 產生具型別的用戶端。為助理載入產生規則與語言說明。支援 TypeScript、Python、Go、C#、Java、Kotlin、Groovy、Scala、Swift、PHP 與 Rust 模型,以及 Angular、React、Spring、Ktor、Reqwest 等用戶端。
- 適用情境
- 適合讓助理依精簡、可版控的規格,跨多種語言建立模型、服務、轉接器或具型別的 API 用戶端,尤其在結構重複、可用範本或欄位對應減少樣板程式碼時。
- 執行需求
- 需要 Node.js 18 或更新版本,以及支援 stdio 的 MCP 用戶端。不需帳號或 API 金鑰。選用環境變數 METAENGINE_API_URL 可覆寫預設的託管 API 位址。需要能連線至託管 MetaEngine API 的網路,試執行也不例外。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 MetaEngine,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
MetaEngine MCP Server
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:
For Claude Code:
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:
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
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:
outputPathchooses the local output directory; the default is the MCP server's working directory.skipExistingdefaults totrue. Set it tofalseto overwrite generated files.dryRun: truereturns 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.
來源:README.md,提交 140f94e
工具
0版本歷史
1- v1.5.0最新Sep 16, 2026
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