Subtitle Toolkit
Convert, clean, retime and validate SRT, WebVTT, ASS/SSA, SBV and TTML subtitles. 8 tools.
Should I use this
Quality & Safety
Findings (1)
- LOWin fix_subtitle_encoding
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"subtitle-toolkit": {
"url": "https://subtitle-mcp.toolboxes.top/mcp"
}
}
}Remote endpoints
https://subtitle-mcp.toolboxes.top/mcpstreamable-httpWhat it can do
Tool inventory
Tools (8)
βͺconvert_subtitle(content, to, from, dedupe)
Convert subtitle text between formats. Reads SRT, WebVTT, ASS/SSA, YouTube SBV and TTML/DFXP; writes SRT, WebVTT, ASS, CSV or plain text. Format is auto-detected unless `from` is given.
Input Schema
{
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The full subtitle file text."
},
"to": {
"type": "string",
"enum": [
"srt",
"vtt",
"ass",
"csv",
"text"
],
"description": "Target format. `text` = plain transcript, one line per cue, no timecodes."
},
"from": {
"type": "string",
"enum": [
"auto",
"srt",
"vtt",
"ass",
"sbv",
"ttml"
],
"description": "Source format (default \"auto\" = detect)."
},
"dedupe": {
"type": "boolean",
"description": "Only for to=\"text\": collapse consecutive identical lines (rolling-caption transcripts repeat lines). Default false."
}
},
"required": [
"content",
"to"
]
}βͺclean_subtitles(content, remove_tags, remove_sound_cues, remove_speaker_labels, drop_empty, ...)
Strip noise from auto-generated subtitles: HTML/WebVTT tags, ASS override codes, music and sound-effect cues, speaker labels, empty cues and duplicate lines. Returns the subtitle file in SRT or WebVTT.
Input Schema
{
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The full subtitle file text."
},
"remove_tags": {
"type": "boolean",
"description": "Strip HTML/WebVTT tags and ASS override codes. Default true."
},
"remove_sound_cues": {
"type": "boolean",
"description": "Strip [Music], [Applause], βͺ ... βͺ and similar. Default true."
},
"remove_speaker_labels": {
"type": "boolean",
"description": "Strip leading \"SPEAKER:\" prefixes. Default false β enable only if you want them gone."
},
"drop_empty": {
"type": "boolean",
"description": "Drop cues that become empty after cleaning. Default true."
},
"drop_duplicates": {
"type": "boolean",
"description": "Drop cues whose text was already seen. Default false."
},
"to": {
"type": "string",
"enum": [
"srt",
"vtt"
],
"description": "Output format. Default: same as the input."
}
},
"required": [
"content"
]
}βͺretime_subtitles(content, offset_seconds, ratio, from_fps, to_fps)
Fix subtitle timing. Use offset_seconds for a uniform shift (whole track early/late). Use ratio, or from_fps/to_fps, for progressive drift caused by a frame-rate mismatch. Pass exactly one of the three.
Input Schema
{
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The full subtitle file text."
},
"offset_seconds": {
"type": "number",
"description": "Shift every cue by this many seconds. Negative = earlier. e.g. -2.5"
},
"ratio": {
"type": "number",
"description": "Scale all timings by this factor (new = old x ratio). e.g. 1.0427 for a 25β23.976 fps fix."
},
"from_fps": {
"type": "number",
"description": "The frame rate the subtitles were authored for (used with to_fps)."
},
"to_fps": {
"type": "number",
"description": "The frame rate of the actual video (used with from_fps)."
}
},
"required": [
"content"
]
}π’check_subtitle_timing(content, max_cps, min_duration_seconds, max_duration_seconds, max_line_length)
Audit subtitle readability and produce a report: reading speed (CPS), cue durations that are too short or too long, lines that are too wide, more than two lines, and overlapping cues. Returns a formatted report listing every flagged cue.
Input Schema
{
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The full subtitle file text."
},
"max_cps": {
"type": "number",
"description": "Max characters per second. Default 20."
},
"min_duration_seconds": {
"type": "number",
"description": "Minimum cue duration in seconds. Default 0.833 (Netflix 5/6s)."
},
"max_duration_seconds": {
"type": "number",
"description": "Maximum cue duration in seconds. Default 7."
},
"max_line_length": {
"type": "number",
"description": "Max characters per line. Default 42."
}
},
"required": [
"content"
]
}βͺmerge_subtitles(content, append_content, gap_seconds, to)
Append one subtitle track after another (CD1 + CD2, or a second language track). The second track is offset so it starts after the last cue of the first, plus an optional gap.
Input Schema
{
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The first subtitle file text."
},
"append_content": {
"type": "string",
"description": "The subtitle file text to append."
},
"gap_seconds": {
"type": "number",
"description": "Extra gap between the two tracks, in seconds. Default 0."
},
"to": {
"type": "string",
"enum": [
"srt",
"vtt"
],
"description": "Output format. Default: same as the input."
}
},
"required": [
"content",
"append_content"
]
}π’split_subtitles(content, at, part, to)
Split one subtitle track into two parts at a given timecode, keeping original timecodes. Use the `at` argument plus `part` to fetch either half.
Input Schema
{
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The full subtitle file text."
},
"at": {
"type": "string",
"description": "Split point. Accepts \"45:00\", \"1:02:03\", \"90\" (seconds) or \"1:02:03.500\"."
},
"part": {
"type": "string",
"enum": [
"a",
"b"
],
"description": "Which half to return. Default \"a\" (before the split point)."
},
"to": {
"type": "string",
"enum": [
"srt",
"vtt"
],
"description": "Output format. Default: same as the input."
}
},
"required": [
"content",
"at"
]
}βͺfix_subtitle_encoding(content, read_as, twice)
Repair mojibake β text where UTF-8 bytes were decoded as a single-byte encoding (cp1252/Latin-1 or cp1251). Symptoms: "ΓΒ©", "Γ’β¬β’", "ΓΒΏΓβ¬ΓΒΈΓΒ²ΓΒ΅Γβ". Returns the repaired text and how many passes were applied.
Input Schema
{
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The garbled subtitle text."
},
"read_as": {
"type": "string",
"enum": [
"auto",
"cp1252",
"cp1251"
],
"description": "Which encoding the file was wrongly read as. Default \"auto\" (tries cp1252 then cp1251)."
},
"twice": {
"type": "boolean",
"description": "Set true when the text was mis-decoded twice (nested mojibake). Default false."
}
},
"required": [
"content"
]
}βͺtext_to_subtitles(content, duration_seconds, start_seconds, max_chars_per_cue)
Turn a plain transcript (one line per caption) into an SRT file with evenly spaced timecodes. Timing is a starting point, not a real transcription β say so when you present the result.
Input Schema
{
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "Plain text, one caption per line. Blank lines are skipped."
},
"duration_seconds": {
"type": "number",
"description": "Seconds each cue stays on screen. Default 2.5."
},
"start_seconds": {
"type": "number",
"description": "Timecode of the first cue, in seconds. Default 0."
},
"max_chars_per_cue": {
"type": "number",
"description": "Split longer lines into several cues at word boundaries. Default 0 = never split."
}
},
"required": [
"content"
]
}Community
Evidence