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제작자가 쓴 설명(영어 원문)
Polyglot MCP test generation with 8-section contract enforcement across Python, TS, Java, Go, C++.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"universal-test-framework": {
"command": "uvx",
"args": [
"universal-test-framework",
"--transport",
"stdio"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add universal-test-framework -- uvx universal-test-framework --transport stdio프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"universal-test-framework": {
"command": "uvx",
"args": [
"universal-test-framework",
"--transport",
"stdio"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"universal-test-framework": {
"type": "stdio",
"command": "uvx",
"args": [
"universal-test-framework",
"--transport",
"stdio"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 phoenice-labs 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.2)은 7개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.
AI tools — GitHub Copilot, Claude, Cursor, Gemini — generate tests fast. The problem: fast ≠ trustworthy.
| Without UTF | With UTF |
|---|---|
| Tests exist but nobody knows *why* | Every test is linked to a requirement |
| "Covers everything" — nobody can prove it | Traceability matrix maps REQ → test |
| CI passes; real behavior untested | Gap analysis flags what is NOT covered |
LLM wrote a test that asserts True | Meaningfulness check rejects trivial assertions |
| No history of what was tested | Persistent registry survives session restarts |
| Report shows pass/fail counts only | 8-section per-test detail cards in HTML report |
You may already use markdown files (AGENTS.md, copilot-instructions.md, .cursorrules) to guide your AI. UTF is complementary — not competing:
| Markdown instructions | UTF |
|---|---|
| Describe *how* to write tests | Enforce a contract on *every* test produced |
| Rely on LLM to follow instructions | Block tests that fail the contract at generation time |
| No verification after generation | Score each test 0–1 against 8 measurable criteria |
| No persistent state between sessions | SQLite registry persists all tests and results |
| No compliance report | HTML 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.
TC-{PRJ}-{MODULE}-{NNN} and classic TC-{MODULE}-{NNN} both accepteduvx (zero-clone), local clone, Docker, GitHub MCP Registry, pip SDK.utf/rules/ override global defaults| # | Method | How Started | Registry Location | @utf Slash Cmds | Best For |
|---|---|---|---|---|---|
| 1 | uvx (zero-install) | mcp.json + uvx | /.utf/utf.db | ❌ use natural language | Any developer with uv |
| 2 | Local Clone | install-vscode-mcp.ps1 | /.utf/utf.db | ✅ with extension | Contributing / customizing UTF |
| 3 | Docker / HTTP | docker compose up | Named volume or bind mount | ❌ use natural language | Team / remote / CI |
| 4 | GitHub MCP Registry | Auto via client | /.utf/utf.db | ❌ use natural language | Discoverable via MCP marketplace |
| 5 | pip + SDK | Python import | Caller controls cwd | N/A | CI scripts / programmatic |
All methods (1, 2, 4) using stdio transport write the registry to `${workspaceFolder}/.utf/utf.db` — isolated per project and persistent across sessions.
Requires uv. No cloning, no venv.
Add to %APPDATA%\Code\User\mcp.json (Windows) or ~/.config/Code/User/mcp.json (macOS/Linux):
{
"servers": { "utf": { "type": "stdio", "command": "uvx", "args": ["--from", "universal-test-framework", "utf-server", "--transport", "stdio"], "cwd": "${workspaceFolder}", "env": { "UTF_PROJECT_DIR": "${workspaceFolder}" } } } }
Registry:
.utf/utf.dbinside${workspaceFolder}— isolated per project, persistent across sessions.
Reload VS Code after editing
mcp.json.
git clone https://github.com/phoenice-labs/Universal-Test-Framework
cd Universal-Test-Framework
.\scripts\install-vscode-mcp.ps1
.\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.
# Start the UTF server
cd Universal-Test-Framework docker compose -f docker/docker-compose.yml up -d
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
${workspaceFolder}templating), passproject_dir
explicitly in tool calls, or set
UTF_PROJECT_DIRin the container environment.
Per-project Docker workflow:
# docker-compose.override.yml
services: utf-server: volumes:
Once published, UTF is discoverable via the MCP marketplace. Clients that support server.json install it automatically. The generated mcp.json entry is equivalent to Method 1 (uvx).
Registry isolation: The MCP registry schema does not support a
cwdfield at the registry level.
UTF resolves project isolation via (in priority order):
1.
project_dirargument passed to each tool call
2.
UTF_PROJECT_DIRenvironment variable
3.
Path.cwd()fallback (server's working directory)
For correct isolation, ensure the MCP client writes
"cwd": "${workspaceFolder}"and
"UTF_PROJECT_DIR": "${workspaceFolder}"in the generated entry (UTF'smcp-gallery.jsondoes this).
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.dbwhenproject_diris passed; falls back toPath.cwd().
| Tool | Description |
|---|---|
generate_tests | Generate a complete test suite satisfying the 8-section contract |
validate_test_contract | Validate any test (generated or hand-written) against the contract |
analyze_coverage | Identify coverage gaps in an existing test suite |
build_traceability_matrix | Build a requirements → tests traceability matrix |
suggest_test_types | Recommend test types with rationale from source code |
detect_language_framework | Auto-detect programming language and test framework |
import_test_results | Import JUnit XML from any test run into the UTF registry |
query_registry | Query the persistent per-project test registry |
run_tests | Execute test files and return structured CI results |
run_mutation_tests | Run mutation testing and return mutation score |
feedback_status | Get gap analysis, coverage health, and trend report |
generate_report | Generate HTML / JUnit / JSON contract compliance report |
health | Server health check: version, uptime, tool count |
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.
| # | Section | What It Must Contain | Weight |
|---|---|---|---|
| 1 | test_id | Unique ID: TC-{TYPE}-{NNN} (e.g. TC-US-042) | 10% |
| 2 | why_generated | Rationale tied to a requirement (≥50 chars) | 10% |
| 3 | requirement_mapping | At least one US-, AC-, REQ-, JIRA-, BUG-, or NFR- reference | 15% |
| 4 | how_it_exercises | GIVEN / WHEN / THEN with inputs, mocks, assertions (≥100 chars) | 20% |
| 5 | coverage_contribution | Coverage type + module + estimated % | 15% |
| 6 | expected_outcome | Precise return values, status codes, state changes (≥50 chars) | 15% |
| 7 | gaps_missing | Honest list of what this test does NOT cover (≥40 chars) | 10% |
| 8 | meaningfulness_check | Self-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.
| Language | Frameworks | Test Types |
|---|---|---|
| Python | pytest | unit, integration, api, e2e, security, performance |
| TypeScript | Jest, Vitest, Playwright | unit, integration, e2e, api |
| JavaScript | Jest, Vitest | unit, integration |
| Java | JUnit 5 + AssertJ, Maven | unit, integration, api |
| Go | go-test + testify | unit, integration, api |
| C++ | Google Test | unit |
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요