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Universal Test Framework

by phoenice-labsversion 1.0.2i★ –iRuns on your computer
Registry nameio.github.phoenice-labs/universal-test-framework

Install

Overview

Description from the maker (original English)

Polyglot MCP test generation with 8-section contract enforcement across Python, TS, Java, Go, C++.

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).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx 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": {
    "universal-test-framework": {
      "command": "uvx",
      "args": [
        "universal-test-framework",
        "--transport",
        "stdio"
      ]
    }
  }
}

Run this in your terminal

claude mcp add universal-test-framework -- uvx universal-test-framework --transport stdio

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "universal-test-framework": {
      "command": "uvx",
      "args": [
        "universal-test-framework",
        "--transport",
        "stdio"
      ]
    }
  }
}

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": {
    "universal-test-framework": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "universal-test-framework",
        "--transport",
        "stdio"
      ]
    }
  }
}

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 phoenice-labs, 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 32558 servers in this category
  • Published to the registry more recently than 6% of the other 32558 servers in this category
  • Basic checks equal to or better than 100% of the other 32558 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 Universal Test Framework 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 (1.0.2) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

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

Alternatives

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

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Runs on your computer★ 440MITUpdated 14 months ago
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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.

Universal Test Framework (UTF)

Contract-driven test enforcement and reporting for LLM-generated code — via MCP, VS Code, Copilot CLI, Claude, Cursor, or Python SDK.

UTF is an MCP server and contract enforcement engine. It does not replace your AI coding assistant — it gives every test your AI writes a mandatory quality gate, a structured audit trail, and a comprehensive compliance report.


Why UTF? (Not Another Test Generator)

AI tools — GitHub Copilot, Claude, Cursor, Gemini — generate tests fast. The problem: fast ≠ trustworthy.

Without UTFWith UTF
Tests exist but nobody knows *why*Every test is linked to a requirement
"Covers everything" — nobody can prove itTraceability matrix maps REQ → test
CI passes; real behavior untestedGap analysis flags what is NOT covered
LLM wrote a test that asserts TrueMeaningfulness check rejects trivial assertions
No history of what was testedPersistent registry survives session restarts
Report shows pass/fail counts only8-section per-test detail cards in HTML report
UTF vs Markdown Instructions / Prompt Files

You may already use markdown files (AGENTS.md, copilot-instructions.md, .cursorrules) to guide your AI. UTF is complementary — not competing:

Markdown instructionsUTF
Describe *how* to write testsEnforce a contract on *every* test produced
Rely on LLM to follow instructionsBlock tests that fail the contract at generation time
No verification after generationScore each test 0–1 against 8 measurable criteria
No persistent state between sessionsSQLite registry persists all tests and results
No compliance reportHTML report with per-test 8-section detail cards

Use markdown instructions to *shape* how your AI thinks. Use UTF to *verify* and *report on* what it produced.


Key Features

  • 13 MCP tools — generate, validate, register, analyze, trace, execute, mutate, report, and query tests
  • 6 languages — Python, TypeScript, JavaScript, Java, Go, C++
  • 7 test types — unit, integration, API, E2E, contract, performance, security
  • 8-section contract — every test must pass all 8 sections or it is blocked (minimum score: 0.85)
  • 3-segment test IDs — TC-{PRJ}-{MODULE}-{NNN} and classic TC-{MODULE}-{NNN} both accepted
  • Five install modes — uvx (zero-clone), local clone, Docker, GitHub MCP Registry, pip SDK
  • VS Code @utf — chat participant with slash commands
  • CI/CD ready — GitHub Actions, GitLab CI, pre-commit hooks
  • Per-project overrides — YAML rules in .utf/rules/ override global defaults

Quick Start

Setup Method Comparison
#MethodHow StartedRegistry Location@utf Slash CmdsBest For
1uvx (zero-install)mcp.json + uvx /.utf/utf.db❌ use natural languageAny developer with uv
2Local Cloneinstall-vscode-mcp.ps1 /.utf/utf.db✅ with extensionContributing / customizing UTF
3Docker / HTTPdocker compose upNamed volume or bind mount❌ use natural languageTeam / remote / CI
4GitHub MCP RegistryAuto via client /.utf/utf.db❌ use natural languageDiscoverable via MCP marketplace
5pip + SDKPython importCaller controls cwdN/ACI scripts / programmatic

All methods (1, 2, 4) using stdio transport write the registry to `${workspaceFolder}/.utf/utf.db` — isolated per project and persistent across sessions.


Method 1 — uvx (Zero-Install, Recommended)

Requires uv. No cloning, no venv.

Add to %APPDATA%\Code\User\mcp.json (Windows) or ~/.config/Code/User/mcp.json (macOS/Linux):

{

"servers": { "utf": { "type": "stdio", "command": "uvx", "args": ["--from", "universal-test-framework", "utf-server", "--transport", "stdio"], "cwd": "${workspaceFolder}", "env": { "UTF_PROJECT_DIR": "${workspaceFolder}" } } } }

Registry: .utf/utf.db inside ${workspaceFolder} — isolated per project, persistent across sessions.

Reload VS Code after editing mcp.json.


Method 2 — Local Clone (VS Code + Copilot)
git clone https://github.com/phoenice-labs/Universal-Test-Framework

cd Universal-Test-Framework

Register MCP server, install @utf extension, copy global prompts

.\scripts\install-vscode-mcp.ps1

Optionally scaffold a specific project

.\scripts\install-vscode-mcp.ps1 -InitProject -ProjectDir C:\my-project

Reload VS Code → open Copilot Chat → ask naturally: generate e2e tests for my backend.

The install script writes this entry to mcp.json:

{

"utf": { "type": "stdio", "command": " ", "args": ["-m", "mcp_server.server", "--transport", "stdio"], "cwd": "${workspaceFolder}", "env": { "PYTHONPATH": " " } } }

Registry: ${workspaceFolder}/.utf/utf.db — isolated per project.

`@utf` slash commands are available after the VSIX extension is installed.


Method 3 — Docker (Team / Remote)
# Start the UTF server

cd Universal-Test-Framework docker compose -f docker/docker-compose.yml up -d

MCP server available at http://localhost:8765/sse

Connect from VS Code by adding to mcp.json:

{

"servers": { "utf-remote": { "type": "sse", "url": "http://localhost:8765/sse" } } }

Registry: persisted in a named Docker volume (utf_registry → /app/.utf/utf.db).

For per-project isolation with Docker, use a bind-mount in docker-compose.yml:

`yaml

volumes:

- /path/to/your/project/.utf:/app/.utf

`

Because Docker uses HTTP/SSE transport (no ${workspaceFolder} templating), pass project_dir

explicitly in tool calls, or set UTF_PROJECT_DIR in the container environment.

Per-project Docker workflow:

# docker-compose.override.yml

services: utf-server: volumes:

  • ./my-project/.utf:/app/.utf environment: UTF_PROJECT_DIR: /app

Method 4 — GitHub MCP Registry

Once published, UTF is discoverable via the MCP marketplace. Clients that support server.json install it automatically. The generated mcp.json entry is equivalent to Method 1 (uvx).

Registry isolation: The MCP registry schema does not support a cwd field at the registry level.

UTF resolves project isolation via (in priority order):

1. project_dir argument passed to each tool call

2. UTF_PROJECT_DIR environment variable

3. Path.cwd() fallback (server's working directory)

For correct isolation, ensure the MCP client writes "cwd": "${workspaceFolder}" and

"UTF_PROJECT_DIR": "${workspaceFolder}" in the generated entry (UTF's mcp-gallery.json does this).


Method 5 — pip + Python SDK
pip install universal-test-framework
from mcp_server.tools.generate_tests import generate_tests

from pathlib import Path

result = generate_tests( test_type="unit", source_code=open("src/auth.py").read(), project_dir=str(Path.cwd()), # ← pass explicitly for correct registry isolation ) print(result["suite_code"])

Registry: /.utf/utf.db when project_dir is passed; falls back to Path.cwd().


MCP Tools Reference

ToolDescription
generate_testsGenerate a complete test suite satisfying the 8-section contract
validate_test_contractValidate any test (generated or hand-written) against the contract
analyze_coverageIdentify coverage gaps in an existing test suite
build_traceability_matrixBuild a requirements → tests traceability matrix
suggest_test_typesRecommend test types with rationale from source code
detect_language_frameworkAuto-detect programming language and test framework
import_test_resultsImport JUnit XML from any test run into the UTF registry
query_registryQuery the persistent per-project test registry
run_testsExecute test files and return structured CI results
run_mutation_testsRun mutation testing and return mutation score
feedback_statusGet gap analysis, coverage health, and trend report
generate_reportGenerate HTML / JUnit / JSON contract compliance report
healthServer health check: version, uptime, tool count

The 8-Section Test Contract

Every test generated by UTF must satisfy all 8 sections. Tests that fail any hard section are blocked — returned in blocked_tests, never silently included.

#SectionWhat It Must ContainWeight
1test_idUnique ID: TC-{TYPE}-{NNN} (e.g. TC-US-042)10%
2why_generatedRationale tied to a requirement (≥50 chars)10%
3requirement_mappingAt least one US-, AC-, REQ-, JIRA-, BUG-, or NFR- reference15%
4how_it_exercisesGIVEN / WHEN / THEN with inputs, mocks, assertions (≥100 chars)20%
5coverage_contributionCoverage type + module + estimated %15%
6expected_outcomePrecise return values, status codes, state changes (≥50 chars)15%
7gaps_missingHonest list of what this test does NOT cover (≥40 chars)10%
8meaningfulness_checkSelf-assessment: meaningful / redundant / hallucinated (≥50 chars)5%

Minimum passing score: 0.85. Tests below this threshold are blocked regardless of individual section presence. "none" in gaps or vague rationale like "to test the function" are rejected.


Supported Matrix

LanguageFrameworksTest Types
Pythonpytestunit, integration, api, e2e, security, performance
TypeScriptJest, Vitest, Playwrightunit, integration, e2e, api
JavaScriptJest, Vitestunit, integration
JavaJUnit 5 + AssertJ, Mavenunit, integration, api
Gogo-test + testifyunit, integration, api
C++Google Testunit

The UTF 3-Phase E2E Workflow

This is the canonical flow for using UTF with any AI CLI (Copilot, Claude, Cursor) or VS Code. Follow the phases in order — skipping Phase 1 registration means the report has no Per-Test Contract Detail cards.

┌─────────────────────────────────────────────────────────────────────────┐

│ PHASE 1 — CONTRACT GENERATION (LLM writes, UTF validates + registers) │ │ │ │ ① generate_tests (scaffold) │ │ ② LLM writes real test methods — each with its own TC-ID and │ │ 8-section comment block (WHY / REQ / HOW / COV / OUT / GAP / MEAN)│ │ ③ validate_test_contract — score must be ≥ 0.85 per test │ │ ④ register_contracts — parse test file, upsert status=generated rows │ │ ⑤ generate_report — verify Per-Test Contract Detail cards appear │ │ │ │ PHASE 2 — EXECUTION (pytest/jest/maven runs, results captured) │ │ │ │ ⑥ pytest --junit-xml=utf-tests/reports/results.xml │ │ ⑦ import_test_results — upsert executed/failed rows

Only the beginning is shown; read the rest in the repo

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