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PopNx MCPMCP servers for people who use AI · explained in plain words

MetaEngine

by meta-engineversion 1.5.0i★ –iRuns on your computer
Registry nameeu.metaengine/mcp-server

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: METAENGINE_API_URL

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "metaengine": {
      "command": "npx",
      "args": [
        "-y",
        "@metaengine/mcp-server"
      ],
      "env": {
        "METAENGINE_API_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add metaengine --env METAENGINE_API_URL=your-value -- npx -y @metaengine/mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "metaengine": {
      "command": "npx",
      "args": [
        "-y",
        "@metaengine/mcp-server"
      ],
      "env": {
        "METAENGINE_API_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "metaengine": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@metaengine/mcp-server"
      ],
      "env": {
        "METAENGINE_API_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • METAENGINE_API_URL env
    Override the MetaEngine generation API endpoint (defaults to https://api.metaengine.eu)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain metaengine.eu (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32537 servers in this category
  • Published to the registry more recently than 43% of the other 32537 servers in this category
  • Basic checks equal to or better than 100% of the other 32537 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MetaEngine safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.5.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, TF Rooms

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

TF Rooms

by tfrooms.com

Live room availability, rates and stay quotes for 12 New Leaf motels in Twin Falls, Idaho.

Runs in the cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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:

{

"mcpServers": { "metaengine": { "command": "npx", "args": ["-y", "@metaengine/mcp-server@1.5.0"] } } }

For Claude Code:

claude mcp add metaengine -- npx -y @metaengine/mcp-server@1.5.0

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:

{

"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.

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