MCP server

Slice

com.tryslicemedia/slice

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Turn long podcast episodes, video or audio, into captioned vertical clips and transcripts.

Website

At a glance

Type

MCP server

Publisher

tryslicemedia.com (verified by the MCP Registry)

Status

Working at last check

Tools

11

Token cost

About 3,921 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http slice https://mcp.tryslicemedia.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.slice]
url = "https://mcp.tryslicemedia.com/mcp"

Gemini CLI

{"mcpServers":{"slice":{"httpUrl":"https://mcp.tryslicemedia.com/mcp"}}}

Cursor

{"mcpServers":{"slice":{"url":"https://mcp.tryslicemedia.com/mcp"}}}

VS Code

{"servers":{"slice":{"type":"http","url":"https://mcp.tryslicemedia.com/mcp"}}}

Antigravity

agy mcp add slice https://mcp.tryslicemedia.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"slice","server_url":"https://mcp.tryslicemedia.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"slice","server_url":"https://mcp.tryslicemedia.com/mcp"}

Tools

• email_transcript ~191 tokens
  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
• find_clips_about ~416 tokens
  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 th
• get_episode ~201 tokens
  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 a
• get_job ~209 tokens
  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: t
• list_styles ~132 tokens
  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).
• make_clips ~568 tokens
  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.
• read_captions ~340 tokens
  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 r
• restyle_clip ~647 tokens
  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 r
• start_episode ~580 tokens
  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 fi
• transcribe_audio ~462 tokens
  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 spe
• transcription_status ~175 tokens
  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

Browse

• Website monitoring
• Email
• Speech to text
• YouTube

Related MCP servers

• AgentOnAir
  Search and play AI-hosted podcasts; preview launching your agent's own show.
• PodLexicon
  Search and read AI summaries of 88,000+ podcast episodes across 150+ mostly long-form shows.
• Barevalue
  AI podcast editing. Sign up in one call, send audio by link or from disk, get an edited episode.
• SendIt
  Publish and schedule social posts, upload media, and review analytics through OAuth.
• DharmikStudio
  Hindu devotional audio, katha, aartis, Gita, temple stories and festival guides in Hindi and English
• Transcript Kit
  Turn a recording you own into a timestamped transcript with SRT and VTT captions and clips.
• Tanod ML
  Local ML: speech to text (SRT/VTT), text embeddings, reranking, similarity, entities, zero-shot.
• The Stall
  277 pay-per-call MCP tools: YouTube keyword research, stocks, crypto, DeFi, options, macro.

Badge for your README

[![AptLynx](https://aptlynx.net/badge/com.tryslicemedia/slice.svg)](https://aptlynx.net/servers/com.tryslicemedia/slice)

Listing text is written by the maker; AptLynx lists tools and does not vouch for them. Find another tool · Browse by topic · For agents