mcpField
S
Samplecut

Samplecut

Remote
samplecut.appMedia & Design

About Samplecut

Cut audio from YouTube, TikTok or Instagram links to MP3/WAV, and fetch video transcripts.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.samplecut.app/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

3
ParameterTypeRequiredDescription
urlstringYesYouTube, TikTok, or Instagram URL to cut
formatenumNoDownload format; default mp3wav | mp3
contextstringYesOne 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.
end_secnumberNoRange end in seconds
llm_modelstringYesThe 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 identifier with certainty, pass "unknown" — never guess.
start_secnumberNoRange start in seconds
duration_secnumberNoClip length in seconds from start_sec (default 0) when end_sec is omitted
conversation_idstringNoPass 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 passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.