subtitle-translation-mcp

subtitle-translation-mcp

An offline MCP server for translating movie subtitles, providing persistent translation sessions, a glossary, and modular format adapters so LLM agents can translate while timing is never altered.

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subtitle-translation-mcp

Offline MCP server for subtitle translation with a persistent translation session, a translation-memory glossary, and modular format adapters. Built for LLM agents (e.g. Cline) — the server structures and persists, the agent translates.

  • Timing is never touched. The source timing/order is stored once at parse time; translate_batch sends only { index, text }, so cues can never drift or merge.
  • Persistent session. Interrupted translation? Resume exactly where you left off (translation_status → missingRanges).
  • Glossary (translation memory). Names and fixed terms are translated consistently across movies and series.
  • Whole-film context. subtitle_overview gives the agent the full plain text first, so names/terminology stay consistent.
  • Encoding-safe. Auto-detects UTF-8 / Windows-1250 / ISO-8859-2 / Windows-1251 / ISO-8859-1 — mojibake is never silently translated.

Languages: English · Slovenčina

Layout

<server dir>/
├── Subtitles\        # SUBTITLES_ROOT — movie folders (Subtitles/<movie>/<file>)
│   ├── Movie A\
│   │   ├── movie-a.srt
│   │   └── glossary.json     # movie/series-scoped glossary
│   └── Movie B\
│       └── movie-b.srt
└── data\             # SRT_DATA_ROOT — session.json + global glossary.json (+ .bak)

Override the roots with the SUBTITLES_ROOT and SRT_DATA_ROOT env vars.

Quick start

Requires Node.js 20+ (tested on 20/22).

npm install
npm run build   # tsc → build/
npm test        # vitest run

MCP config (VS Code / Cline):

{
  "mcpServers": {
    "subtitle-translation-mcp": {
      "command": "node",
      "args": ["<path-to-repo>/build/index.js"],
      "env": {
        "SUBTITLES_ROOT": "<path-to-repo>/Subtitles",
        "SRT_DATA_ROOT": "<path-to-repo>/data"
      }
    }
  }
}

Tools (19)

Tool Purpose
list_movies List movie folders and their subtitle files
list_formats List supported subtitle formats (SRT, MicroDVD .sub)
info_subtitles Block count, first/last timecodes, validation issues; reports detected encoding + detectionConfidence
parse_subtitles Return a page of blocks (startBlock/blockCount); stores the full source (timing/order) into the session on first call
subtitle_overview Whole-movie plain text (no indexes/timecodes); outFile writes a .txt, maxLines caps output
search_cues Find cues by text/regex, with optional surrounding context — check name/term consistency
replace_cues Replace text/regex across cues (literal or regex); outFile writes the result; timing untouched
translate_batch Store translated blocks — send only { index, text }; reports unknown/empty indexes
build_subtitles Assemble the full file from the session; outFile write / format conversion, includeContent/preview
translation_status Session status: total/stored/remaining + missingRanges (resume after interruption)
clear_translation Clear the persistent session for a file
glossary_get Read the translation memory (global + movie-scoped entries; optional srcLang filter)
glossary_add Add/update a term (term → translation, srcLang, scope) — write only after explicit user consent
validate_subtitles Structural validation: duplicates, inverted timecodes, overlaps, empty cues
write_subtitles Write subtitle content to a file inside the root (UTF-8, overwrite guard)
shift_timecodes Shift all timecodes by ±ms
reindex_subtitles Re-number cues sequentially
clean_sound_cues Remove sound-effect cues (e.g. [krik]); mode "cues+lines" (default) also strips [...] from mixed lines; writes to a new outFile, dryRun preview
generate_release_note Write the three-version README.txt release note for a finished translation

Translation workflow (EN→SK example)

  1. info_subtitles → sanity check + encoding.
  2. subtitle_overview → read the whole film (identify characters/terminology).
  3. glossary_get → load the translation memory; propose new terms, start only after approval.
  4. parse_subtitles in batches (e.g. 100 blocks) — stores full source.
  5. Agent translates and sends only { index, text } via translate_batch.
  6. Repeat until remaining: 0 (track with translation_status).
  7. build_subtitles with outFile → merged result.
  8. validate_subtitles on the result.
  9. generate_release_note → three-version README.txt in the movie folder.

Agent translation rules

The server structures and persists, but the actual translation is done by an LLM agent (e.g. Cline). Quality depends on the agent following a strict rule set: review the whole film first, no mojibake, correct audio-track language, glossary priority, informal T-form, no Czechisms, name transliteration per Slovak rules, ~37–42 chars per line, source-language selection (CZ > Slavic > DE/FR > EN for Western films; original ZH/JA/KO > Slavic > EN for Asian films).

The quality also depends on the LLM model itself: it should handle at least 256k context (above 512k recommended — a single full-movie overview can be large), and it should be linguistically strong in Slovak. The project is developed and tested with DeepSeek-V4-Flash.

The public version is in docs/translation-rules.en.md (English) and docs/translation-rules.sk.md (Slovak). The private working copy lives in .clinerules/ and is not part of this repository.

Docs

Adding a new format (modular)

  1. Create src/formats/<name>.ts exporting an adapter implementing SubtitleFormat.
  2. Register it in src/core/formats.ts:
import { assAdapter } from "../formats/ass.js";
export const ADAPTERS: SubtitleFormat[] = [srtAdapter, assAdapter];

No other code changes — all tools are format-agnostic.

Safety

  • All movie/file/outFile paths are validated to stay inside the configured root; inner separators are rejected (flat Subtitles/<movie>/<file> layout).
  • No shell execution — everything uses Node.js fs APIs.
  • Writes happen only via the write tools (with the overwrite guard on write_subtitles).

Development

npm install
npm run build   # tsc
npm test        # vitest run (149 tests)

License

MIT — see LICENSE.

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