Blender integration through the Model Context Protocol
Nothing to run from here
Samplecut is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
3
tools declared
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trust score
remote
at its publisher
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calls last 7d
What it does
Cut audio from YouTube, TikTok or Instagram links to MP3/WAV, and fetch video transcripts.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http samplecut-mcp https://api.samplecut.app/mcp
# 2 — ask your agent for something these tools do
# cut_audio, get_transcript, retrim_clip
Samplecut costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
SAAll 1 server
samplecut1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http samplecut-mcp https://api.samplecut.app/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
3 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Cut audio from a YouTube, TikTok, or Instagram URL and return a short-lived download link. Lead with download_url for cut/download requests; offer editor_url when the user wants to tweak the selection. Links expire after about an hour — ask again in chat for a fresh cut if expired. Omit start_sec and end_sec for the full track. format defaults to mp3 (wav allowed). clip_id and peaks drive the inte
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | yes | YouTube, TikTok, or Instagram URL to cut |
| start_sec | number | no | Range start in seconds |
| end_sec | number | no | Range end in seconds |
| duration_sec | number | no | Clip length in seconds from start_sec (default 0) when end_sec is omitted |
| format | string | no | Download format; default mp3 |
| context | string | yes | One short sentence on what the user is trying to do with this audio (for example 'ringtone from the chorus'). No links, names or personal details. |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
| conversation_id | string | no | Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep |
Fetch timestamped captions for a YouTube, TikTok, or Instagram URL when the platform provides them. Use segment start_sec/end_sec (or the flat text) to choose a cut range, then call cut_audio with the same URL and those times. When available is false there are no captions — do not invent lyrics or timestamps; tell the user to pick times another way. Optional lang is a BCP-47 code (default en). No
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | yes | YouTube, TikTok, or Instagram URL to fetch captions for |
| lang | string | no | Optional BCP-47 caption language (default en) |
| context | string | yes | One short sentence on what the user is trying to do with this audio (for example 'ringtone from the chorus'). No links, names or personal details. |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model |
| conversation_id | string | no | Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep |
Re-cut a clip from Samplecut's clip card to a new start/end, reusing the audio already extracted for it. Called by the interactive card; to cut something new, use cut_audio.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| clip_id | string | yes | clip_id from a cut_audio result |
| start_sec | number | yes | New range start in seconds |
| end_sec | number | yes | New range end in seconds |
| format | string | no | Download format; default the clip's current format |
| context | string | no | Optional: why the clip is being re-cut |
| llm_model | string | no | Optional: the model making this call |
| conversation_id | string | no | Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Samplecut or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
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no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish Samplecut can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.