Multimeter

Name: Multimeter
Author: mshobeyri

by mshobeyriversion 1.42.4i★ –iRuns on your computer

Registry nameio.github.mshobeyri/multimeter

Install

Overview

Description from the maker (original English)

Scaffold, validate, format, and run YAML .mmt API tests. Do not invent syntax.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "multimeter": {
      "command": "npx",
      "args": [
        "-y",
        "mmt-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add multimeter -- npx -y mmt-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "multimeter": {
      "command": "npx",
      "args": [
        "-y",
        "mmt-mcp"
      ]
    }
  }
}

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": {
    "multimeter": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mmt-mcp"
      ]
    }
  }
}

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.

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 with the GitHub account mshobeyri, which owns the repo
… 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 32606 servers in this category
Published to the registry more recently than 43% of the other 32606 servers in this category
Basic checks equal to or better than 100% of the other 32606 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 Multimeter 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 (1.42.4) 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, Georgia MCP

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 2 days ago

Install

Georgia MCP

by abgeo

An MCP server for Georgian public data, read from the organizations that publish it.

Computer or 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.

Git-native REST client and API tests in VS Code. YAML .mmt files in Git.

Demo · Website · Request Feature · VS Code · CLI · GitHub Action · Docs · llms.txt

🚀 Start with a request. Grow into a platform.

Multimeter is Git-native API testing in VS Code. Requests, tests, mocks, and docs are YAML .mmt files in your repo.

Start with a single HTTP request.

Grow into tests, suites, mocks, reports, documentation, and CI when you need them.

All in the same tool. No migration. No second product.

🎯 What you get

Simple by default

✅ Git-native, file-based YAML
✅ Lightweight — no account, no cloud lock-in
✅ Collaboration through pull requests, like code
✅ The same files locally and in CI

A full testing platform when you need it

✅ HTTP, WebSocket, GraphQL, and gRPC
✅ Multi-step flows and test suites
✅ Mock servers
✅ Generated documentation
✅ Reports
✅ CI with testlight

AI in the same files

✅ Generate tests from an API or a description (Cursor, Copilot, Claude via MCP)
✅ Judge replies — semantic similarity, or open-ended checks like how funny a response is
✅ Bring your own model (Ollama or cloud)

See all features →

⚡ Start simple

Multimeter is a VS Code-native extension. All you need:

Click Install button in Multimeter VS Code Extension
Open Get Started from the Activity bar and follow the instructions

There you run a POST request as follows:

type: api

title: Simple POST url: https://test.mmt.dev/echo method: post format: json body: message: hello

That's enough.

No suites.
No mocks.
No workflows.
No complexity.

🧪 Need tests?

type: test

steps:

http: https://test.mmt.dev/echo method: get expect: status: 200

Still simple.
Still Git-native.
Still easy to review.

🚀 Scale without switching tools

As your project grows, Multimeter grows with it.

Add:

Test suites
Mock servers
Documentation
Workflow execution
Structured reporting
CI artifacts

Only when you need them.

Everything stays in the same ecosystem.

See all examples →

🤖 MCP, AI generation, and AI judges

Cursor, Copilot, and Claude write and run the same .mmt files you edit in VS Code. MCP (mmt-mcp) gives them scaffold_test, validate, format, and run — generate tests from an API or a description, then keep them in Git.

Judge an API answer in the same test. Compare semantic similarity to an expected reply, or check something open-ended — for example, how funny the response is. Bring your own model (Ollama or cloud). An alternative to a separate Promptfoo eval stack.

See MCP docs · Judge docs

🔁 Built for reliable CI

Multimeter validates test definitions before execution.

That means:

✅ Earlier feedback
✅ More deterministic execution
✅ Fewer surprises in CI
✅ Easier debugging
✅ Reproducible results

GitHub Actions:

- uses: actions/checkout@v6

uses: mshobeyri/testlight-action@v1 with: file: tests/suite.mmt report: junit report-file: results/junit.xml

Or from a terminal using the Multimeter CLI called testlight.

npm install -g mmt-testlight

testlight run tests/suite.mmt

See the GitHub Action and Testlight install.

📦 Everything stays in Git

Your code, tests, mocks, documentation, reports, and environment settings live in the same repository.

✅ Version controlled
✅ Code and tests evolve together
✅ Reviewable through pull requests
✅ Easy to move and share
✅ No platform lock-in
✅ AI can update code and tests together
✅ Environment variables never go missing
✅ Historical test results stay with the project

🧠 Philosophy

Most API tools focus on requests.

Multimeter focuses on behavior.

Instead of asking:

"Did this request return the expected response?"

Multimeter helps you answer:

"Does this system still behave correctly?"

License

Multimeter is licensed under the Apache License 2.0.

Demos · Documentation · Website · GitHub

Multimeter

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Georgia MCP

README from the maker

🚀 Start with a request. Grow into a platform.

🎯 What you get

⚡ Start simple

🧪 Need tests?

🚀 Scale without switching tools

🤖 MCP, AI generation, and AI judges

🔁 Built for reliable CI

📦 Everything stays in Git

🧠 Philosophy

License