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Clipwright

Create quoted UGC and faceless videos, generate media assets, and track asynchronous renders through MCP.

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Install Clipwright

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "clipwright-2": {
      "command": "npx",
      "args": [
        "-y",
        "-p",
        "@clipwright/mcp-server",
        "clipwright-mcp"
      ],
      "env": {
        "CLIPWRIGHT_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Values are written into the snippet above so you can paste it as is. They never leave your browser.

Install not yet sandbox-tested— the server itself is confirmed live (we called its tools/list endpoint). The stdio install command is a separate, ongoing check.

Overview

Clipwright MCP server connects AI agents to the Clipwright API for actor-led UGC videos and faceless short videos. It exposes free quoting, workflow planning, media generation, asset management, run polling, shot inspection, and paid revisions through MCP tools. Renders run asynchronously and return a run ID that agents poll until a video URL or failure is available. Reach for Clipwright when an agent needs to create short-form video while showing costs before credit usage; it returns files but does not publish them.

Use cases

  • Create a lip-synced UGC video from a script
  • Generate a faceless short with narration and visual scenes
  • Produce image or silent video assets for a workflow
  • Inspect shots and revise eligible faceless videos
  • Manage reusable media assets and uploads

Key features

  • Quote-first UGC and faceless video rendering
  • Asynchronous run tracking with video URLs
  • Workflow planning, approval, and idempotent launches
  • Image and video generation with reusable references
  • Asset uploads, storage, listing, and deletion
  • Shot inspection, candidates, and paid revisions

Tools44

What Clipwright lets your agent do. Expand a tool for its parameters.

Verified live~63.1k tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 1d ago

Recent health check succeeded.

9/9 checks healthy over the last 45d

What it can do

From the 44 tools this server returned when we ran it; 44 declare their own safety hints.

Runs commands · 2Can delete or modify data · 3Makes network requests · 16Read-only tools · 39
Network at startup3 connections
Files written at startupNone
Install scriptsNone
npm provenanceNot published
Package age95 days
Maintainers1

Observed 2026-10-30 in an isolated sandbox. A description of reach, not a security audit.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 15d ago via OSV.dev · @clipwright/mcp-server (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars1Stargazers on the source repository.
npm downloads5.6kPackage downloads in the last 30 days.
Last commit2d agoMost recent push to the default branch.
Tools exposed44Callable tools this server registers over MCP.
Directory activity2 viewsConfig copies, upvotes, and views on AllMCPs.

How Clipwright works

What Clipwright MCP server does

Clipwright turns a script into either a talking-actor video or a faceless short video. Actor-led generation uses a selected or default actor, speech settings, and optional source imagery. Faceless workflows combine narration with an opening animated clip and image scenes. The API returns the finished file rather than publishing it to a social platform.

The server also supports standalone image and silent video generation, reusable account assets, uploads, reference-based remake planning, and inspection of the shots used in a completed video. Quotes, workflow plans, approvals, and status checks are free; generation and rendering consume credits when successful.

How it works

Paid operations follow a quote-first sequence. For UGC, image, video, workflow, revision, and shot-candidate operations, the agent requests a quote, presents the cost, and starts the paid action only after the required approval step. Workflow plans add explicit revision, approval, content-digest, and idempotency checks before a paid launch.

Generation is asynchronous. Tools such as make_ugc, make_faceless, generate_image, and generate_video return a run ID immediately. The agent then calls get_run repeatedly, typically about every five seconds, until the run succeeds with a URL or reaches a failed state. Failed or uncertain requests should be recovered with the original idempotency information rather than a newly invented request key.

Setup and configuration

The published MCP package runs over stdio and requires Node.js 20 or newer. Add it to an MCP host with the Clipwright API key:

Terminal
claude mcp add clipwright -e CLIPWRIGHT_API_KEY=cw_... -- npx -y -p @clipwright/mcp-server clipwright-mcp

Replace the example value with a key from the Clipwright account. The repository also provides a Claude Code plugin that connects to the hosted endpoint at https://mcp.clipwright.io/mcp, and a Cursor plugin configuration. Claude Code, Claude Desktop, Cursor, Cline, and other MCP hosts can use the stdio package.

Tools and capabilities

  • Inspect workflow methods, requirements, evidence, limitations, and availability with list_workflows and get_workflow.
  • Create, revise, approve, quote, and launch workflow plans with the workflow planning tools.
  • Quote and start UGC or faceless renders, then inspect their runs and shots.
  • Generate images and silent clips using supported models, modes, aspect ratios, resolutions, and durations.
  • Upload PNG or JPEG files, create reusable assets, list or update them, and delete them.
  • Create shot candidates or paid revisions for eligible faceless runs.
  • Read signed media URLs, content digests, dimensions, frame data, narration timing, and generation results.

Limitations and notes

Credits are spent by successful paid renders and other paid generation operations, so the quote tools should be called first. Supported model combinations are explicitly listed; unsupported image or video combinations are refused before charging. Captions for UGC are opt-in, and renderer fields marked as not yet honored should not be assumed to affect output.

Uploads have size, format, expiry, and rate limits. Local files require the appropriate upload method when the MCP server runs remotely. References containing people or creative works require rights confirmation for generation; analysis-only assets are not usable for rendering. Signed URLs expire and should be refreshed by reading the relevant upload, asset, or shot again. Clipwright returns generated files but does not publish them.

Read the full README View source on GitHub

Reviews

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Frequently Asked Questions about Clipwright

Clipwright is an MCP server that connects AI agents to the Clipwright video API, with tools for quoting and starting UGC, faceless, image, and video generation, plus polling runs and managing media assets. It also supports workflow plans, uploads, shot inspection, and paid revisions or candidates.

Install it with the stdio command using `npx` and set `CLIPWRIGHT_API_KEY`. The package requires Node.js 20 or newer: `claude mcp add clipwright -e CLIPWRIGHT_API_KEY=cw_... -- npx -y -p @clipwright/mcp-server clipwright-mcp`.

Yes, Clipwright works with Cursor. The repository includes a Cursor plugin configuration, and the stdio MCP package can be used by Cursor and other MCP hosts.

Call the relevant quote tool before starting generation. Use `quote_ugc` for actor videos, `quote_workflow_plan` for approved workflow plans, `quote_video` for silent clips, and `quote_revision` or `quote_candidate` for editing operations.

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