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MCP verified Apache-2.0 Self-run

Multimeter

mcp-mshobeyri-multimeter · by mshobeyri

Multimeter is an AI-powered REST Client and API testing tool for VS Code and CI. It is not an electrical multimeter. YAML .mmt files. testlight CLI. MCP @mmt/mcp. Git-native Postman alternative.

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Install

$ agentstack add mcp-mshobeyri-multimeter

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ● Network access Used
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

✓ Security review passed
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● 18d ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

AI-powered REST Client and API testing in VS Code. Git-native alternative to Postman. YAML .mmt files.

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:

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 →](./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@v4
- 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](LICENSE.md).

Demos · [Documentation](./docs/toc.md) · Website · GitHub

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.