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pypi clipmaster-mcpstdioupdated 25d ago

mcp-name: io.github.n0Sp00n/clipmaster-mcp

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What can you do with clipmaster mcp?

clipmaster-mcp

mcp-name: io.github.n0Sp00n/clipmaster-mcp

MCP (Model Context Protocol) server for ClipMaster — AI video clipping at clipmaster.app. It exposes the ClipMaster public API as tools, so Claude Desktop, Claude Code, and any MCP client can ingest videos, monitor processing, browse clips, trigger exports, and schedule posts.

  • Talks ONLY to the public REST API (https://api.clipmaster.app/api/v1) with the user's API key — no database access, no internal services.
  • Ingestion is URL-only by design (streaming a local file through an LLM tool call is impractical). Account management (keys, billing, OAuth connects) is excluded; the API rejects those routes for key auth anyway.

Requirements

  • Python 3.10+
  • A ClipMaster API key (paid plans): web app → Settings → API access

Install

From this repo checkout:

pipx install ./clipmaster-mcp
# or, without installing:
uvx --from ./clipmaster-mcp clipmaster-mcp

Configure

Env var Required Meaning
CLIPMASTER_API_KEY yes* Your cm_live_… API key
CLIPMASTER_API_BASE no Override the API base URL (default https://api.clipmaster.app/api/v1)

*Instead of the env var you can put the key in ~/.config/clipmaster/key — this keeps it out of client config files and shell history:

mkdir -p ~/.config/clipmaster && printf '%s' 'cm_live_...' > ~/.config/clipmaster/key && chmod 600 ~/.config/clipmaster/key

The env var wins when both are set.

Claude Code

claude mcp add clipmaster -e CLIPMASTER_API_KEY=cm_live_... -- clipmaster-mcp

Claude Desktop

claude_desktop_config.json:

{
  "mcpServers": {
    "clipmaster": {
      "command": "clipmaster-mcp",
      "env": { "CLIPMASTER_API_KEY": "cm_live_..." }
    }
  }
}

Tools

Tool What it does
ingest_youtube(url, orientation?, user_query?, compilation_format?) Import a YouTube video, start clip generation
get_status(project_id) Processing progress / state
list_projects() The user's projects
list_clips(project_id) Generated clips with AI metadata
get_clip(project_id, clip_id) Full detail for one clip
trigger_export(project_id, clip_id) Render a clip with its saved settings (charges tokens)
get_export_status(export_id) Poll an export; completed → temporary download_url
list_compilations(source_project_id?) / get_compilation(id) Cross-project clip collections
list_social_accounts() Connected channels for scheduling
schedule_post(...) Schedule an export to publish (idempotent on retry)
list_scheduled_posts(from_date, to_date) Posting calendar range

Development

python3 -m venv .venv && .venv/bin/pip install -e ./clipmaster-mcp pytest
.venv/bin/pytest clipmaster-mcp/tests -q