Paraglide Messages Mcp

io.github.whazeted由 GitHub 账号 whazeted 发布v0.3.0更新于 Oct 24, 2026

Validated, sub-agent per-locale translation of Paraglide JS / inlang message-format projects.

已验证STDIO仅桌面开发者工具AI 与机器学习

概览

AI 生成的概览

一个本地 MCP 服务器,通过 OpenAI Batch API 翻译 Paraglide JS / inlang 消息目录,并将校验后的译文按语言合并回项目文件。

可以做什么
检查 Paraglide/inlang 项目:语言列表、源语言、消息数量与启动时的风格说明,并按前缀和状态分页列出、读取或搜索消息键与内容。提交可持久化的 OpenAI Batch 翻译任务,可按目标语言和键前缀限定范围,也可刷新已有译文,并在重启后跟踪、列出或取消任务。收集已完成的批次:归档输出、逐条校验译文并把通过的译文合并进语言文件,报告已保存、失败与冲突数量。对已有键保存经过校验的人工修正。
适用场景
适用于 Paraglide JS 或 inlang 项目需要把消息目录翻译成多种语言,并希望借助 OpenAI Batch 异步完成、而不是在实时代理循环中翻译的场景。适合需要按语言校验、冲突报告和可恢复任务的团队。
运行要求
通过 npx 以 stdio 在本地运行,需要 Node.js 22.12 或更高版本。翻译需要可访问所配置 Batch 模型的 OpenAI API 密钥,通过环境变量 OPENAI_API_KEY 提供。项目路径可用 --project 指定,或从 .inlang 目录自动发现。检查项目和保存人工修正无需密钥。
安装前请注意
翻译会把消息文本、现有目标语言文案和风格说明发送给 OpenAI,并产生付费的 Batch 用量;提交结果不确定时不会自动重试,以避免重复的付费批次。project.inlang 下的任务目录包含消息文本和归档的模型输出,应排除在版本控制之外。收集过程会写入并合并语言文件,取消任务最长可能需要 10 分钟。请勿把 API 密钥写入提交的配置。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Paraglide Messages Mcp,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

paraglide-messages-mcp

Stateless MCP service for translating Paraglide JS / inlang message files through the OpenAI Batch API.

OpenAI does the translation asynchronously. The MCP client submits a job and later collects it; the client and server can disconnect or restart while OpenAI works. Each request includes flat message keys as usage context, source text, existing target text, placeholders, a style brief, and a small sample of existing target copy. The default is gpt-6-luna with reasoning.effort: "low" (“Luna light”).

Requires Node.js 22.12+ and an OpenAI API key with access to the configured Batch model. Inspecting projects and saving manual corrections work without a key.

Connect

json
{  "mcpServers": {    "paraglide": {      "command": "npx",      "args": [        "-y", "paraglide-messages-mcp",        "--project", "./project.inlang",        "--translation-style", "Concise product UI; informal address; preserve brand terms."      ],      "env": { "OPENAI_API_KEY": "<your API key>" }    }  }}

Use your client's secret/environment configuration to supply the key; don't commit credentials. --project is optional when there is a discoverable .inlang directory. --model <id> overrides the default. --jobs-dir <path> overrides the local job directory.

Translate

  1. Call project_info to inspect locales and missing counts.

  2. Call start_translation_job with a stable jobId, for example:

    json
    { "jobId": "checkout-fr-2026-10-07", "targetLocales": ["fr"], "prefix": "checkout_" }

    Omit targetLocales for every locale except the source. The source defaults to the project base locale. Omit prefix for the whole catalog. Use mode: "all" to refresh existing translations. A per-job translationStyle overrides the startup brief.

  3. Keep the returned ID and periodically call get_translation_job. Batch jobs have a 24-hour completion window; a tool call checks once instead of holding a connection open. Reuse the same ID after errors. list_translation_jobs discovers jobs after a restart without calling OpenAI.

  4. On a terminal batch, collection archives output/error files, validates individual translations, and merges accepted values into the locale files. Check saved, failed, lastError, and cleanedUp; a remote completed status alone does not mean everything was saved. Failure details are capped at 50 in tool responses; the job record contains every outcome. Failed or conflicted messages can be corrected with save_translations or translated in a new scoped job.

An empty scope finishes locally without an API request. A reused ID with different options is rejected. Use a new ID for new work; retrying an existing ID resumes its original snapshot.

Durability and cleanup

Job snapshots and IDs are atomically persisted in project.inlang/.paraglide-batches/. Keep this directory on persistent storage and exclude it from source control: it contains message text and archived model outputs. API keys are never stored in job records. Locks serialize job reconciliation and catalog writes across processes on the same host. Source or target edits made during the batch are preserved and reported as conflicts. Per-locale merges can be replayed after an interrupted collection.

Lost batch creation responses are reconciled through OpenAI batch metadata and the input file ID. An uncertain submission is never automatically repeated, which avoids duplicate paid batches. If reconciliation finds no matching batch, the job stays pending and reports lastError; inspect it in OpenAI before deciding to submit replacement work. OpenAI validates model availability asynchronously; unsupported models are reported through batch errors.

There is no “close completed batch” operation. Once results are safely archived and applied, the service deletes the remote input, output, and error files. Cleanup failures remain resumable. Both uploaded and generated files have a 30-day expiration as a fallback; collect before they expire. cancel_translation_job records cancellation before sending it to OpenAI. Cancellation can take up to 10 minutes; keep collecting until terminal and cleanedUp: true. Successful partial results from cancelled or expired batches are validated and applied too.

For unattended collection, run this command periodically through your own scheduler:

sh
npx paraglide-messages-mcp --project ./project.inlang --resume

It reconciles every unfinished local job once, prints JSON summaries, and exits. No timers or workers remain attached to MCP sessions. It returns a nonzero exit code for collection errors or rejected translations.

Tools

ToolPurpose
project_infoLocales, source, counts and startup style brief
list_message_keysFlat keys filtered by prefix/status; cursor pagination
get_messagesMessage values by key or prefix
search_messagesSearch text and key substrings
save_translationsValidated corrections to existing keys
start_translation_jobSubmit a durable OpenAI Batch job
get_translation_jobReconcile, collect and clean up a job
list_translation_jobsLocal job summaries, cursor pagination
cancel_translation_jobRequest cancellation, retaining partial results

The old agent translation loops, workflow prompts, duplicate resources and destructive catalog/locale management tools have been removed from the MCP surface. Existing TranslationService library helpers remain available for callers that need them. MCP saves no longer expose validation bypasses or arbitrary new-key creation.

Stateless HTTP

The CLI uses SDK v2 serveStdio; the library also exports a web-standard HTTP handler:

ts
import { createHandler } from "paraglide-messages-mcp";const handler = createHandler("/workspace/project.inlang", { translationStyle: "Concise UI" });// Mount handler.fetch(Request) on your HTTP runtime; call handler.close() at shutdown.

The handler creates a fresh MCP server for each request and supports the 2026-07-28 protocol without initialization or session IDs. Legacy clients are served statelessly through SDK compatibility. Deployments must mount authentication and Host/Origin checks ahead of fetch as described in the SDK HTTP guide. The filesystem store supports one host, or a persistent single-writer deployment; multi-host replicas need a shared transactional job/catalog store and distributed locking.

See COMPATIBILITY.md for supported message formats and DEVELOPMENT.md for architecture and tests. The optional agent skill teaches the batch workflow.

License

MIT

来源:README.md,提交 6586963

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.3.0最新Sep 16, 2026

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