# dramapack (pypi · dramapack)

Short-drama delivery packs, -14 LUFS mastering, subtitle safe areas, clean masters, rights checks.

- Trust score: 78/100 (medium)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- pypi · `dramapack`: 78/100 (this document), [markdown](https://verifymcp.io/servers/dawnwood-ai-dramapack/dramapack.md), [page](https://verifymcp.io/servers/dawnwood-ai-dramapack/dramapack)

## Channel facts

- Registry: `pypi`
- Package: `dramapack`
- Version: `0.3.1`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs hatchling.build at install time, a recognised build step with no custom scripting around it.
  - 1 of 29 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 97/100
  - Source repository is publicly reachable at the declared URL.
  - Cryptographically verified build provenance (signed, bound to dawnwood-ai/dramapack).
  - Clear OSI-approved license (Apache-2.0).
  - Actively maintained (last published 2 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 48/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 1453 tokens (~290/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the dramapack MCP server?

dramapack runs locally as a PyPI package, launched with uvx dramapack. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add dawnwood-ai-dramapack -- uvx dramapack
```

### Cursor

```json
{
  "mcpServers": {
    "dawnwood-ai-dramapack": {
      "command": "uvx",
      "args": [
        "dramapack"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "dawnwood-ai-dramapack": {
      "command": "uvx",
      "args": [
        "dramapack"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add dawnwood-ai-dramapack -- uvx dramapack
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "dawnwood-ai-dramapack": {
      "type": "local",
      "command": [
        "uvx",
        "dramapack"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add dawnwood-ai-dramapack --command uvx --arg dramapack
```

### Hermes

```yaml
mcp_servers:
  dawnwood-ai-dramapack:
    command: "uvx"
    args: ["dramapack"]
```

### Netclaw

```json
{
  "McpServers": {
    "dawnwood-ai-dramapack": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "dramapack"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add dawnwood-ai-dramapack -t stdio -c uvx -a dramapack
```

### Other

```json
{
  "mcpServers": {
    "dawnwood-ai-dramapack": {
      "command": "uvx",
      "args": [
        "dramapack"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-05 (score 78, +1)

- [functional regression] Security disclosure: unverified → fail

### 2026-11-04 (score 77, +15)

- [security improvement] Malware scan: unverified → pass
- [functional regression] Security disclosure: fail → unverified

### 2026-11-03 (score 62, −14)

- [security regression] Malware scan: pass → unverified
- [functional] Package version: 0.3.0 → 0.3.1

### 2026-11-01 (score 76, +16)

- [security improvement] Malware scan: unverified → pass

### 2026-10-31 (score 60, −14)

- [security regression] Malware scan: pass → unverified
- [functional improvement] Stability: unverified → 0.10
- [functional] Package version: 0.2.1 → 0.3.0

### 2026-10-29 (score 74, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-28 (score 59)

First indexed and scored.

## MCP tools (5)

### `inspect` (~83 tokens)

Measure a video/audio file: duration_s, width/height, fps, codecs, file size, integrated loudness (LUFS), true peak (dBTP), loudness range, and the constant gain needed to reach the -14 LUFS short-drama target. Read-only. Use it to check an episode before or after mastering.

Input parameters:

- `path` (string, required)

### `master` (~242 tokens)

Master ONE short-drama episode into a platform-ready file: burns `srt` subtitles inside the safe area (18% bottom margin clear of the player bar, text box <= 70% of frame width for TikTok Drama Center), normalises loudness to -14 LUFS with a constant gain + peak limiter (no dynamic loudnorm), optionally lays a procedural music bed (`bed`: one of tension, warm, suspense, dread, hope) that ducks under dialogue, trims `head_trim` seconds (subtitles shift with it) and appends an end card. Set burn=false for a clean master without subtitles. Writes `output`; returns its measured spec. For a whole series use `package` instead.

Input parameters:

- `bed`
- `burn` (boolean)
- `card_secs` (number)
- `cover_band` (number)
- `end_card_lines`
- `end_card_site`
- `end_card_title`
- `head_trim` (number)
- `input` (string, required)
- `music`
- `output` (string, required)
- `srt`
- `subtitle_font` (string)

### `package` (~393 tokens)

Build a complete short-drama delivery package (platform submission pack) from `input_dir`, which holds episodes 01.mp4, 02.mp4, ... (un-subtitled cuts by default; set masters_ready=true if they are finished subtitled masters) plus optional 01.srt subtitles, 01.jpg covers, 01.timeline.json edit timelines, show.json and rights.json. Writes to `output_dir`: episodes/NN.mp4 + same-name NN.srt, clean/NN.mp4 clean masters (no subtitles), covers/NN.jpg (3:4, >=350x500), timeline renders + EDL CSV, docs/CHAIN-OF-TITLE.md (blank, to be signed by a person), docs/AI-DISCLOSURE.md, manifest.json with measured specs and a rights check. Returns status (red = do not ship), gaps, notes and file paths. target='tiktok-dc' also finishes every video for TikTok Drama Center: lifts dark frame edges (its 'black bars' rejection) and prepends a 1 s still of the episode cover so frame 0, its default episode cover, is the cover (SRTs shifted to match); edge_lift / cover_head turn either off. Slow: two encodes per episode (one more each with tiktok-dc).

Input parameters:

- `bed`
- `clean` (boolean)
- `cover_head` (boolean)
- `covers` (boolean)
- `edge_lift` (boolean)
- `episodes`
- `input_dir` (string, required)
- `language`
- `masters_ready` (boolean)
- `music`
- `output_dir` (string, required)
- `platform_pairs` (boolean)
- `rights`
- `show`
- `studio`
- `target`
- `timeline` (boolean)
- `title`

### `audit` (~335 tokens)

Acceptance QC: grade finished short-drama episodes green/yellow/red against market benchmarks - duration (TikTok Creator Rewards needs > 60 s), average shot length, long-shot share, mean volume, seam level jumps (give splice points in `bounds`), frozen tail / end-card length, black frames (mid-episode black >= 0.5 s is red), and with faster-whisper installed: dialogue density (`speech`) and subtitle-to-speech alignment (`align`: cue offsets, cues with no speech, speech with no cue, likely typos when subtitles are in the spoken language; uses `srt` or the same-name .srt next to the file; speech=false disables both). Pass exactly one master in `files` plus its raw `cut` to grade the cut on pacing/speech/seams and the master on duration/first line/tail/subtitles. `vlm=true` adds vision-model checks on sampled frames (visual defects, platform-policy flags, first-frame hook) ONLY if the server's environment sets DRAMAPACK_VLM_BASE_URL / DRAMAPACK_VLM_API_KEY / DRAMAPACK_VLM_MODEL; frames then go to that endpoint (it may be a local model). Otherwise no network access. Lip-sync is not checked. Does not modify files.

Input parameters:

- `align` (boolean)
- `bounds`
- `cut`
- `files` (array, required)
- `speech` (boolean)
- `srt`
- `srt_lang`
- `vlm` (boolean)
- `vlm_max_frames` (integer)

### `check_rights` (~176 tokens)

Rights hygiene check for overseas short-drama distribution. Grades every music cue declared in rights.json (source: generated | procedural | public_domain | licensed | unknown) and every font burned into the picture. Red: undeclared/unknown music, major-label publishers (Sony / Universal / Warner and imprints), public domain published <= 50 years ago, fonts not free for commercial use. Yellow: licensed without proof, font not installed (substitute is checked too). Give `rights` (path to rights.json) and/or `input_dir` (uses its rights.json, scans *.ass). Not legal advice. Read-only.

Input parameters:

- `allow_fonts`
- `bed`
- `end_card` (boolean)
- `input_dir`
- `music`
- `rights`
- `subtitle_font`

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/dawnwood-ai-dramapack/dramapack#diagnostics

## Score history

- 2026-11-05: 78
- 2026-11-04: 77
- 2026-11-03: 62
- 2026-11-02: 76
- 2026-11-01: 76
- 2026-10-31: 60
- 2026-10-30: 74
- 2026-10-29: 74
- 2026-10-28: 59

## Common questions

### What is the dramapack MCP server?

dramapack is an MCP server listed in the public MCP registry as io.github.dawnwood-ai/dramapack. Short-drama delivery packs, -14 LUFS mastering, subtitle safe areas, clean masters, rights checks. This page covers its PyPI package (dramapack).

### Is the dramapack MCP server safe to use?

dramapack scores 78 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the dramapack MCP server expose?

dramapack exposes 5 tools: inspect, master, package, audit, check_rights. Their descriptions and schemas cost roughly 1,229 tokens of context every time the server is loaded.

### Is the dramapack MCP server still maintained?

dramapack is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the dramapack MCP server under?

dramapack declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/dramapack/
- Socket report: https://socket.dev/pypi/package/dramapack
- Repository: https://github.com/dawnwood-ai/dramapack
- Website: https://dawnwood.ai/open-source/
- Changelog RSS feed: https://verifymcp.io/servers/dawnwood-ai-dramapack/dramapack.xml
- Changelog JSON feed: https://verifymcp.io/servers/dawnwood-ai-dramapack/dramapack.json
- HTML version of this page: https://verifymcp.io/servers/dawnwood-ai-dramapack/dramapack