Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Translate Python between English keywords and your language, with round-trip verification.
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.
LEGESHER_MCP_LOG_LEVEL필요한 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": {
"legesher": {
"command": "uvx",
"args": [
"legesher-mcp"
],
"env": {
"LEGESHER_MCP_LOG_LEVEL": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add legesher --env LEGESHER_MCP_LOG_LEVEL=your-value -- uvx legesher-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"legesher": {
"command": "uvx",
"args": [
"legesher-mcp"
],
"env": {
"LEGESHER_MCP_LOG_LEVEL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"legesher": {
"type": "stdio",
"command": "uvx",
"args": [
"legesher-mcp"
],
"env": {
"LEGESHER_MCP_LOG_LEVEL": "your-value"
}
}
}
}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.
LEGESHER_MCP_LOG_LEVEL env이 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 7일 점검
레지스트리 이름이 GitHub 계정 legesher 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(0.3.0)은 3일 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: Spec Driven Development, Remote Desktop Commander, FlyDocs
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
The Legesher Model Context Protocol server: the engine's translation capability inside every MCP-capable client — Claude, IDE assistants, agent frameworks — as six coarse, task-shaped tools.
Using the MCP server is free forever (Apache-2.0). The local server runs entirely against the locally installed Legesher engine: it needs no account, and every tool call is served locally. Optional usage telemetry is planned and will be off unless you turn it on; the Privacy section below says exactly what it would send. Some capabilities require a Legesher account on the hosted instance. What the server does is defined by this open package and nothing else.
| Tool | What it does |
|---|---|
translate_to_native | Translate Python source into your natural language. Accepts complete files and fragments alike — no separate snippet mode. |
translate_to_source | Translate native-language code back to English-keyword Python — the form the interpreter, the toolchain, and upstream collaborators use. |
explain_in_language | Return the *engine facts* an assistant needs to explain code in your language: construct-by-construct keyword mappings, a static validation result, and (optionally) the translated source. The model writes the prose; the tool never does. |
lookup_keyword_mapping | Quick-reference lookup: how do specific terms (or the full mapping) render in a language. |
map_existing_codebase | The legibility report: given a set of files, what would translating this codebase into a language look like — per-file coverage, unmapped constructs, and optionally the translated files. |
validate_identifier_translations | Check proposed identifier translations before recording them: malformed identifiers, unsafe text, names the pack has reserved, drift (one concept, two terms) and collision (two concepts, one term) — against both your existing glossary and the rest of the batch. Comparison is NFKC+casefold, so case variants and decomposed forms count as the same term. Returns the conflict-free subset, NFC-normalized and ready to record. |
Notes on shape, straight from the design:
pivoted: true rather than failing.compile(), never exec() — submitted code is parsed, never executed.unsupported_language, language_pack_not_found, invalid_source) and a generic message: no stack traces, no filesystem paths, no echoed source.| URI | Contents |
|---|---|
legesher://languages | The language catalog with pack availability. |
legesher://languages/{lang}/terms | The full term dictionary (keywords, builtins, exceptions, reserved words) for one language, at the default Python version. |
legesher://languages/{lang}/terms/{python_version} | The same dictionary pinned to a Python version, for callers on a grammar other than the default. |
explain-in — scaffolds "explain the selected code in {language}", steering the model to explain_in_language first and keeping engine facts distinct from narration.translate-review — walks a source/translated pair: translate, validate, then summarize what changed and what did not map.legibility-report — drives map_existing_codebase over pasted files and renders the coverage report as a stakeholder-readable summary.The server needs the Legesher engine. Every language pack ships inside legesher-i18n, so nothing else is installed:
# The server (pulls legesher-core and legesher-i18n, packs included)
uvx legesher-mcp
Inside the monorepo workspace every shipped pack is already installed:
uv run legesher-mcp
The server is quiet by default (log level WARNING). For troubleshooting, set LEGESHER_MCP_LOG_LEVEL (DEBUG, INFO, WARNING, ERROR, CRITICAL); unrecognized values fall back to the quiet default. GUI clients do not run your shell, so the variable has to go in the client's own config — every block below shows where.
claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": { "legesher": { "command": "uvx", "args": ["legesher-mcp"], "env": { "LEGESHER_MCP_LOG_LEVEL": "DEBUG" } } } }
claude mcp add legesher -- uvx legesher-mcp
claude mcp add legesher --env LEGESHER_MCP_LOG_LEVEL=DEBUG -- uvx legesher-mcp
.cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
{
"mcpServers": { "legesher": { "command": "uvx", "args": ["legesher-mcp"], "env": { "LEGESHER_MCP_LOG_LEVEL": "DEBUG" } } } }
.vscode/mcp.json (workspace) or the user-level mcp.json (Command Palette: *MCP: Open User Configuration*):
{
"servers": { "legesher": { "type": "stdio", "command": "uvx", "args": ["legesher-mcp"], "env": { "LEGESHER_MCP_LOG_LEVEL": "DEBUG" } } } }
settings.json → context_servers:
{
"context_servers": { "legesher": { "command": { "path": "uvx", "args": ["legesher-mcp"], "env": { "LEGESHER_MCP_LOG_LEVEL": "DEBUG" } } } } }
The env block is optional in every case — drop it to keep the quiet default.
stdio is the default and what every client config above spawns. The same server also speaks the MCP streamable HTTP transport, for running it as a long-lived local service or on a machine you control:
legesher-mcp --transport streamable-http # 127.0.0.1:8000/mcp
legesher-mcp --transport streamable-http --port 9000 legesher-mcp --transport streamable-http --host 192.0.2.7
The posture, deliberately:
--host defaults to 127.0.0.1, and wildcard binds (0.0.0.0, ::) are refused: this entry ships no authentication, so it binds exactly one interface you name. To serve beyond a machine you trust end to end, put your own auth in front (below).application/json, not SSE.Origin header are unaffected.Embedding instead of running: legesher_mcp.server.create_server() builds the complete server from a Backend and an entitlement gate, and create_http_app() returns it as an ASGI app to mount behind your own middleware (TLS, auth, request context for the gate — see legesher_mcp.gate.request_context). The gate is default-open: no deployment code here installs one, gated tools always stay listed, and an unentitled call answers with an actionable message rather than an opaque failure. validate_identifier_translations is permanently free by construction.
The server is the deterministic half; two shipped artifacts carry the policy and playbook half for agent sessions:
AGENTS.md, fill in the declared language, and every AGENTS.md-reading agent (Codex, Cursor, Claude Code, Antigravity, Windsurf) picks up the same eight rules: write natively, never hand-translate keywords, one-concept-one-term naming via the project glossary, and the byte-identical round-trip guarantee. The file is the *declaration*; long sessions evict rules files from context, which is exactly why the deterministic tools — not the file — are the *guarantee*..claude/skills/. Skills carry the *stable* playbook; the MCP server stays the live surface — that split is deliberate.LEGESHER_MCP_TELEMETRY=on in the server's environment (the env block or --env flag of your client config, as in the examples above).DO_NOT_TRACK=1 or LEGESHER_TELEMETRY_DISABLED=1 always wins and overrides every other setting.map_existing_codebase are report labels — echoed back to you, never logged, never used to touch the filesystem. This is why validate_identifier_translations takes your glossary as *content* and hands back the accepted entries rather than saving them: recording is yours to do, whether that is .legesher/identifier_map.json in your repo or the legesher CLI, which already maintains that file. A durable glossary that outlives the session and is shared across repos and teammates is a system of record, and belongs behind the hosted API — not in a local subprocess.readOnlyHint: true, idempotentHint: true, destructiveHint: false, openWorldHint: false. Clients that read the hints (Claude Code among them) can reduce or skip approval prompts, because no tool call writes a file, executes submitted code (validation is compile() only), or opens a socket. A surface-lock test asserts the annotations, so a future tool that *does* any of those has to change them deliberately.cd libs/mcp
uv run pytest # the per-commit suite (every tool, through MCP) uv run pytest -m scheduled # release-tier: all-packs sweep + wheel spawn uv run ruff check . # lint uv run mypy legesher_mcp # types
Two test tiers. The default run exercises every tool through a real MCP client session and stays fast. The scheduled tier is excluded from it and run before a release:
tests/test_roundtrip_sweep.py, so a fix announces itself.앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요