Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Translation status, glossary, and editing tools for a verbatra i18n project, over stdio.
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.
VERBATRA_MCP_ALLOW_SPEND, VERBATRA_MCP_REDACT_VALUES, ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, DEEPL_API_KEY, GOOGLE_TRANSLATE_API_KEY, OPENCODE_API_KEY, OPENAI_COMPATIBLE_API_KEY, LIBRETRANSLATE_API_KEY비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
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": {
"verbatra": {
"command": "npx",
"args": [
"-y",
"@verbatra/mcp"
],
"env": {
"VERBATRA_MCP_ALLOW_SPEND": "your-value",
"VERBATRA_MCP_REDACT_VALUES": "your-value",
"ANTHROPIC_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"GEMINI_API_KEY": "your-value",
"DEEPL_API_KEY": "your-value",
"GOOGLE_TRANSLATE_API_KEY": "your-value",
"OPENCODE_API_KEY": "your-value",
"OPENAI_COMPATIBLE_API_KEY": "your-value",
"LIBRETRANSLATE_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add verbatra --env VERBATRA_MCP_ALLOW_SPEND=your-value --env VERBATRA_MCP_REDACT_VALUES=your-value --env ANTHROPIC_API_KEY=your-value --env OPENAI_API_KEY=your-value --env GEMINI_API_KEY=your-value --env DEEPL_API_KEY=your-value --env GOOGLE_TRANSLATE_API_KEY=your-value --env OPENCODE_API_KEY=your-value --env OPENAI_COMPATIBLE_API_KEY=your-value --env LIBRETRANSLATE_API_KEY=your-value -- npx -y @verbatra/mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"verbatra": {
"command": "npx",
"args": [
"-y",
"@verbatra/mcp"
],
"env": {
"VERBATRA_MCP_ALLOW_SPEND": "your-value",
"VERBATRA_MCP_REDACT_VALUES": "your-value",
"ANTHROPIC_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"GEMINI_API_KEY": "your-value",
"DEEPL_API_KEY": "your-value",
"GOOGLE_TRANSLATE_API_KEY": "your-value",
"OPENCODE_API_KEY": "your-value",
"OPENAI_COMPATIBLE_API_KEY": "your-value",
"LIBRETRANSLATE_API_KEY": "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": {
"verbatra": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@verbatra/mcp"
],
"env": {
"VERBATRA_MCP_ALLOW_SPEND": "your-value",
"VERBATRA_MCP_REDACT_VALUES": "your-value",
"ANTHROPIC_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"GEMINI_API_KEY": "your-value",
"DEEPL_API_KEY": "your-value",
"GOOGLE_TRANSLATE_API_KEY": "your-value",
"OPENCODE_API_KEY": "your-value",
"OPENAI_COMPATIBLE_API_KEY": "your-value",
"LIBRETRANSLATE_API_KEY": "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.
VERBATRA_MCP_ALLOW_SPEND envVERBATRA_MCP_REDACT_VALUES 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 6일 점검
레지스트리 이름이 GitHub 계정 verbatra 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.
입력해야 할 값: ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, DEEPL_API_KEY, GOOGLE_TRANSLATE_API_KEY, OPENCODE_API_KEY, OPENAI_COMPATIBLE_API_KEY, LIBRETRANSLATE_API_KEY
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 10일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Apify MCP Server
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.
Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
@verbatra/mcp
Stdio MCP server exposing verbatra's translation status, glossary, and editing capabilities as tools for any MCP client, without a browser.
Documentation | Connect a client | Changelog | Issues
@verbatra/mcp starts a Model Context Protocol server over stdio, the standard local-process transport an MCP client uses to launch and talk to a tool server. It gives a terminal-hosted or headless agent the same translation-status, glossary, and editing capabilities Verbatra Studio exposes in the browser, without a browser, a port, or a served single-page app. It is a thin, SDK-backed surface over @verbatra/sdk, the same way @verbatra/cli is.
Most MCP clients spawn the server for you and need no local install at all: point the client at npx -y @verbatra/mcp and npx fetches it on demand. To pin it in your project instead:
npm install --save-dev @verbatra/mcp
Needs Node.js ^22.18.0 || >=24. The server is also reachable through verbatra mcp once both @verbatra/cli and @verbatra/mcp are installed.
Point your client at the verbatra-mcp binary, which the @verbatra/mcp package provides (the example runs it through npx). The shape below is the one most clients use; for an editor or desktop client, put it in that client's MCP server configuration file.
{
"mcpServers": { "verbatra": { "command": "npx", "args": ["-y", "@verbatra/mcp", "--cwd", "/path/to/your/project"], "env": {} } } }
In Claude Code, npx @verbatra/cli init --agent (or claude mcp add --transport stdio --scope project verbatra -- npx -y @verbatra/mcp) writes an equivalent entry to a committed .mcp.json. The verbatra plugin bundles the agent skills with its own copy of this server, so use it instead of the .mcp.json entry, never both: together they register the server twice. VS Code (GitHub Copilot's agent mode) reads .vscode/mcp.json, whose top-level key is servers rather than mcpServers. The exact file, key, and working-directory handling for every client is in Connect an MCP client.
That configuration is read-only plus local editing: no provider is called and no API key is needed. Add --allow-spend to args, and the environment variable your configured provider reads its key from, once you also want the two provider-calling tools. --config loads a specific config file instead of searching for one, and VERBATRA_MCP_ALLOW_SPEND is the environment equivalent of the flag, which the flag always wins over.
Every tool, listed in the order the server advertises them.
| Tool | What it does |
|---|---|
project.snapshot | Read the resolved project configuration: whether a usable config is loaded (configured), locales, format, path pattern, provider id, where the config came from, whether a glossary is configured |
project.doctor | Check the project setup (config, format, provider, API key variable by name, network policy, source file) and get a fix for every failed check, with or without a usable config |
status.check | Per target locale, how many keys are missing, stale, or up to date, and whether the locale is in sync |
status.diff | Per target locale, the exact keys the next translate run would add, re-translate, or orphan |
glossary.get | Every glossary term with its translation for all locales, per-locale translations, forbidden renderings, case sensitivity, note and part of speech, the terms kept untranslated, the glossary version and where it comes from; with locale, also the terms that locale is held to |
glossary.write | Change one glossary term (a translation for all locales or one locale, forbidden renderings, note, partOfSpeech, caseSensitive, or doNotTranslate) and return the glossary afterward |
lock.state | The lock file's version and its per-locale key counts, or exists: false before the first run |
history.list | Recent git commits that touched a locale file, with hash, author name (never the email), date, subject and touched paths |
key.integrity | One key's placeholder, inline markup, and ICU drift against the lock-file baseline, per locale |
locale.integrity | Every translation that fails the placeholder, markup or ICU checks right now, per target locale |
key.value | One key's current source text, its source file description, and, if translated, its current text in one target locale with who wrote it |
key.context | What key.value returns plus the glossary terms that apply, the key's maxLength, and a check of an optional draft |
locale.values | Source and target text of many keys, filtered by keys or a query, in pages of up to 1,000 entries |
translation.editEntry | Write a manual translation for one key in one locale, accepted only if it passes the integrity gate |
translation.estimate | Estimate what translation.translatePending would send and cost, optionally for a subset of locales, without calling a provider |
translation.retranslateEntry | Ask the configured provider for a fresh translation of one key in one locale |
translation.translatePending | Translate every missing or stale key across the configured target locales, or a named subset, in one run, within an optional maxTokens ceiling |
review.queue | Every machine-written translation nobody has approved yet, read from the committed files, with the last run's flags |
report.provenance | Per locale, how many values fall into each provenance bucket; with includeEntries, the keys, paged |
review.approve | Record, on the user's instruction, that a named person approves one key's current translation |
review.reject | Record, on the user's instruction, that a named person rejects one key's current translation, removing it so it gets replaced |
usage.summary | Token usage and budget status left behind by the last run |
translation.retranslateEntry and translation.translatePending are the two tools that call a provider. They are advertised only when the server is started with --allow-spend or VERBATRA_MCP_ALLOW_SPEND; without either, a client never sees them and calling one by name fails as an unknown tool. A config with provider: { id: "none" } never lists them, even with --allow-spend.--redact-values (or VERBATRA_MCP_REDACT_VALUES) replaces every source text, translation, description, and glossary term in a result with a marker such as [redacted length=12 hash=3f9a0c1d2e4b5a6c], and leaves out reviewer and author names. Key names, counts, statuses, and integrity verdicts stay. review.approve and review.reject then take only the marker's hash as expectedHash, locale.values refuses query, and key.context refuses draft. This keeps values out of results; it does not stop an agent that probes on purpose, and what a provider receives does not change.[REDACTED] before it reaches the client or stderr.project.snapshot reports configured: false, project.doctor says what to fix) and reloads the config and its glossary file before each call. --allow-spend is fixed at startup, and a config change never widens it.Every tool's input, and every closed-shape tool output, is a JSON Schema derived from the same zod schema the server validates the call against. See the verbatra mcp docs for the full tool reference, the exit-code contract, and worked examples.
@verbatra/sdk: the engine this server is a thin surface over.@verbatra/cli: the verbatra command, including verbatra mcp.@verbatra/studio: the same capabilities in a browser dashboard.See CONTRIBUTING.md.
MIT (c) Mario Kreitz