- Registry update
- Oct 17, 2026
Connect
remote$claude mcp add --transport http slice https://mcp.tryslicemedia.com/mcpHeaders
Nothing to configure — it works as is.
Security review
Review passedReviewed 43m ago.
- tools
- 11 tools scanned
- metadata
- scanned
No findings.
Tools
11start_episode
Use this when the user wants a podcast, interview, stream or other video turned into short clips. An audio-only episode (MP3, M4A, WAV, OGG or FLAC) works too: its clips come out as captioned vertical videos drawn with an audio template. With a video or audio file attached in the chat, pass it as file: it is copied into Slice, transcribed, and searched for the moments worth posting, with no further steps. With no file, it returns an upload_url for the user to open and drop the file in (up to three hours and 4.5GB). Follow with get_episode. Do not use when the user only wants the words as text (use transcribe_audio), and do not use for links to YouTube or other web pages; those are not supported.
get_episode
Use this when the user asks how an episode is going, whether it is ready, or what clips were found. Returns one status for the whole pipeline (waiting_for_upload, uploading, transcribing, finding_clips, ready or failed) and, once ready, the found clips with number, ref, title, opening line, length and whether each has been cut and captioned. With no episode_id it lists recent episodes. Read the live answer from here rather than guessing how long things take. Do not use for transcripts made with transcribe_audio.
make_clips
Use this when the user picks found clips to make. Cuts each one from the episode and renders it with captions burned in, in one step. Pass the numbers or refs get_episode listed (refs in brackets are fine). Optional style, caption_size, position, hook_title, fit and background apply to these clips. Returns a job per clip; follow with get_job for the files. Do not use before get_episode reports the episode ready, and do not use to change a clip that is already made (use restyle_clip).
get_job
Use this when the user wants to know whether a clip is cut or rendered, or wants the finished file. Pass the job_id from make_clips or restyle_clip, or a clip_id for that clip's latest render. Returns the status, progress, a still from the clip and, when finished, a short download link. Pass wait: true to hold on up to about 40 seconds for it to finish. Do not use for transcribe_audio jobs.
restyle_clip
Use this when the user wants a made clip changed and rendered again: a different caption style, bigger or smaller captions, captions moved up or down, the hook title turned on, off or reworded, or the whole video shown instead of cropped (fit, background). The change is saved on the clip and a new render starts; follow with get_job. When the user wants the look kept for future clips, pass save_as_default (new clips then start from it). Do not use for clips that have not been made yet (use make_clips).
list_styles
Use this when the user wants to know which caption looks they can choose from. Returns each style's id, name, a one-line description and a link to a preview picture. Pass styles to look up particular ones. Do not use to change a clip (use restyle_clip or make_clips).
find_clips_about
Use this when the user wants clips from an episode on a particular topic or for a particular audience, e.g. "clips about creativity for artists" or "moments for young entrepreneurs". Searches the episode again for moments that fit the focus, skipping clips already found, and adds what it finds to the episode's clips. It may find fewer than usual, or none, when little in the episode fits; say so plainly. Returns each new clip's number, ref, title and why it fits. Takes about a minute; if it is still searching, call it again with the same focus to wait for the result. Do not use before get_episode reports the episode ready.
read_captions
Use this when the user asks what a clip says, what is on screen at a particular moment, which caption contains a word or a typo, or who said something. It is also the only way to get a caption's id, so read it first whenever a later step needs to name one caption. Narrow with at_seconds, a from/to range, or contains. Do not use for a transcript made with transcribe_audio, or to find clips (use get_episode).
transcribe_audio
Use this when the user wants the words: speech in an audio or video file turned into text, from a podcast, interview, lecture, meeting or voice note. Accepts a file the user attached (file) or a direct https link to a media file such as .mp3, .m4a, .wav or .mp4 (url). Returns the transcript with speaker turns, plus a page with the full text and .txt, .srt and .vtt downloads. Short files finish in this call; longer ones return status "processing" and a transcription_id for transcription_status. Up to 90 minutes per file. The first transcript needs no account; after that it asks for a Slice sign-in, and a signed-in person gets 3 transcripts a month, shared with the Slice website. Do not use when the user wants short video clips made from a video (start_episode does that), for YouTube, Spotify, Apple Podcasts or other web pages (they are pages, not files), for text already in the conversation, or for live audio.
transcription_status
Use this when transcribe_audio returned status "processing", to check whether the transcript is finished and get its text. Pass the transcription_id it returned. Call it again after a short wait while the status is still "processing". Only answers in the conversation (or Slice account) that started the transcription. Do not use to start a transcription; use transcribe_audio.
email_transcript
Use this only when the user explicitly asks for a finished transcript to be emailed to them. Needs a Slice sign-in, asked for on first use, and sends the .txt, .srt and .vtt files only to the confirmed email address on that Slice account, never to another address. Each transcript can be emailed one time, and only from the conversation or account that made it. Do not use to send a transcript to somebody else; share the results page instead.
More in AI & LLMs
predictit-mcp
io.github.mrfentmen
Prediction market contracts and prices from PredictIt. No key required.
ocrspace-mcp
io.github.mrfentmen
Run OCR.space: text extraction from image URLs via GET or POST.
metoffice-mcp
io.github.mrfentmen
UK Met Office DataHub: hourly, three-hourly, daily point forecasts.
groq-mcp
io.github.mrfentmen
MCP server for Groq: fast LLM chat, model list. Needs a free API key.
cartesia-mcp
io.github.mrfentmen
Query the Cartesia API: voice list, localized voices, and speech synthesis.
assemblyai-mcp
io.github.mrfentmen
Query the AssemblyAI API: transcript list, details, and paragraphs.
Listing from the official MCP Registry.