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MCP Video logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 7:17:34 PM

MCP Video

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository163 GitHub StarsTotal stargazers on GitHub for the source repository (163 stars).Visit Website

Video editing MCP server with 91 FFmpeg, planning, and Hyperframes tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mcp-video": {
      "command": "npx",
      "args": [
        "--yes",
        "unless"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸŽ₯ More in Multimedia Process

Documentation Overview

Kinocut - guardrailed video editing for AI agents

Kinocut

Guardrailed video editing MCP server for AI agents.
Local-first FFmpeg tools, Video Receipts, quality gates, Hyperframes, and Shorts/Reels repurposing β€” for Claude Code, Cursor, and any MCP client. Free, Apache-2.0. Formerly mcp-video.

LobeHub MCP PyPI kinocut.dev GitHub CI 201 MCP tools on development tip 173 CLI commands on development tip Python 3.11+ Apache 2.0

Demo β€’ Status β€’ 1.15.2 β€’ 1.15.1 β€’ Changelog β€’ Beyond β€’ Install β€’ Quick Start β€’ Tools β€’ Tool Reference β€’ Rescue β€’ 360 assembly β€’ AI-video β€’ Agent Skill β€’ kinocut.dev β€’ What is Kinocut? β€’ FAQ β€’ llms.txt

Kinocut is a free, open-source video editing MCP server and AI agent workflow engine (plus Python client and kino CLI) that lets AI agents trim, caption, repurpose, and quality-gate local video media with typed tools and Video Receipts β€” not invented FFmpeg flags.

Table of contents

  • What is Kinocut?
  • See It Work
  • Installation
  • Quick Start
  • MCP Tools
  • Status and releases
  • 360 dual-cam assembly
  • Changelog
  • FAQ
  • Agent Skill

What is Kinocut?

TL;DR: Kinocut is a free, local-first video editing MCP server (plus Python client and kino CLI) so AI agents can trim, caption, repurpose, and quality-gate media with typed tools and Video Receipts β€” not invented FFmpeg flags.

Kinocut is a free, open-source Model Context Protocol (MCP) server, Python library, and kino CLI that gives AI agents a guardrailed local video-editing surface. It wraps FFmpeg (and optional Hyperframes / Whisper extras) with typed tools, preflight validation, Video Receipt provenance, and quality/release checkpoints so agent-produced media can be inspected before publish.

Also known askino (CLI); formerly mcp-video / mcp_video
Latest published release1.15.2 (2026-09-24)
Product sitekinocut.dev
PyPIkinocut
MCP Registryio.github.KyaniteLabs/kinocut
SourceGitHub (canonical code, issues, PRs, CI, and releases) Β· Forgejo (downstream mirror; automated sync cutover pending verification)
LicenseApache-2.0
Runs onYour machine (macOS, Linux, Windows) β€” FFmpeg required on PATH
NotA hosted cloud editor, credit-metered SaaS, or untyped FFmpeg shell wrapper

Best-fit searches: video editing MCP server Β· AI agent video editing Β· FFmpeg MCP Β· Claude Code video tools Β· Cursor MCP video Β· Shorts/Reels automation Β· local AI video workflow Β· guardrailed agentic media.

Machine-readable brief for AI crawlers: llms.txt Β· site: kinocut.dev/llms.txt.

See It Work

Tell the agent what you want in plain language:

"Trim this interview to the strongest 45 seconds, add burned captions, make it vertical, and quality-check it before export."

Kinocut turns that into typed, guardrailed tool calls - no FFmpeg flags to guess, no silently broken exports:

server.ts
from kinocut import Client
video = Client()

clip = video.trim("interview.mp4", start="00:02:15", duration="00:00:45")
video.ai_transcribe(clip.output_path, output_srt="captions.srt")
captioned = video.subtitles(clip.output_path, subtitle_file="captions.srt")
short = video.resize(captioned.output_path, aspect_ratio="9:16")
video.release_checkpoint(short.output_path)  # thumbnail + quality gate before you publish

Primary job: turn a local interview or podcast into captioned vertical clips with a Video Receipt agents can re-run and humans can approve.

Three things people use it for

  • Repurposing β€” one recording into captioned Shorts, Reels, and TikTok packages with manifests and review artifacts.
  • Podcast & interview cuts β€” find the strongest segment, normalize audio, add chapters, and export.
  • Agent-driven media in CI β€” repeatable, reviewable edits from Claude Code, Cursor, Codex-style clients, or scripts.

Paths: Install matrix Β· Golden path Β· Prompts Β· Tutorial Β· Compare Β· When to recommend

Status and releases

SurfaceVersion / tipWhat it means
PyPI / npm / GitHub Release1.15.2 (2026-09-24)Latest published Kinocut. Install with pip install kinocut.
This repository (master)Development tip Β· 201 MCP / 173 CLIAdds four guarded local Revideo operations and verified sound mastering; not yet published.
Next public releaseTBDHuman residuals (directories, launch posts) stay gated; further bumps need a new go-ahead.

Install from PyPI for the stable package, including the optional object-matte extra. Clone master when you want development-tip work such as the guarded Revideo operations; see docs/PRODUCT_MATTE.md for the published object-matte workflow.

What's in 1.15.2

Kinocut 1.15.2 ships the verified sound line and an adversarial-hardened engine. Sound mastering now preserves stereo through the measured mastering chain with real caption-speech distance profiles, and sound-qa-asr fails closed without a real recognition request. Four guarded local Revideo operations join the public surface with rendered-format validation, and release-checkpoint passes the MCP release gate through from the CLI. Hardening from the adversarial audit: the MCP handshake reports the real kinocut version, a central guard rejects outputs that alias an operation's inputs, and oversized error echoes are truncated. Surface grows to 201 MCP tools / 173 CLI commands β€” the mcp-video==1.6.13 shim installs kinocut==1.15.2.

What's in 1.15.1

Kinocut 1.15.1 is a maintenance release on top of 1.15.0: the mcp-video compatibility shim 1.6.12 carries the registry ownership marker, the legacy io.github.KyaniteLabs/mcp-video registry entry was republished so directory listings (Glama, PulseMCP) point at living metadata (#469), and the object-matte engine now streams decode with scratch-directory caps β€” bounded memory on large inputs (#414). Surface stays 196 MCP / 167 CLI β€” no new public tool name.

What's in 1.15.0

Kinocut 1.15.0 (2026-08-19) was the Windows/diagnostics release: first-class Windows support and honest diagnostics on top of 1.14.x (same 360 dual-cam assembly and performance surface), driven by a community bug report. Surface stays 196 MCP / 167 CLI β€” no new public tool name.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
163
Stargazers on the source repository.
Last commit
9d ago
Most recent push to the default branch.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Video

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-video": { "command": "npx", "args": ["--yes","unless"] } }

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Technical Specs & Signals

CategoryπŸŽ₯Multimedia Process
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 16, 2026
10/15 checks healthy over the last 46d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars163
GitHub Star CountTotal stargazers on GitHub representing community popularity (163 stars).
Last commit9d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 16, 2026
44Quality signal: Fair Β· 44/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3d ago via OSV.dev Β· unless (npm)

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