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dhirajlochib

VidMCP

by dhirajlochib
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Python
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Creator polish pipeline

One call for a publish-ready talk-head:

orient → denoise → BGM → captions → optional BG replace → export preset

Tool

What it does

run_talking_head_polish

Full recipe in one shot

process_audio

Denoise · gate · EQ · loudnorm

mix_bgm

Ambient pad under voice (ducking)

transcribe_and_caption

Whisper words + brand burn-in

replace_background

Matte + space / blur / solid plate

smart_cut_hesitations

Dead air & filler removal

export_render

youtube_16x9 · reels_9x16 · square_1x1

import_video

Bakes portrait rotation upright by default

from vidmcp.tools.creator import run_talking_head_polish

print(run_talking_head_polish(
    "talk.mov",
    preset="reels_9x16",
    bg_mode="space",   # none | space | blur | solid
    strength=0.75,
    bgm_volume=0.35,
))

MCP agents can also call apply_recipe(..., recipe_name="talking_head_polish") or free-text run_intent(...).

Agent context (tool packs + compact results)

Agents drown when MCP hosts load ~90 tool schemas and fat JSON. VidMCP defaults to a small surface:

Setting

Default

Purpose

VIDMCP_TOOL_PACK

talking_head

Expose only the tools for that product path

VIDMCP_COMPACT

1

Drop heavy keys / truncate long payloads

VIDMCP_MAX_RESULT_CHARS

4000

Hard cap on serialized tool results

Packs: talking_head · education · vfx · admin · all

run_intent("polish talk head for reels, space bg, cut fillers", video_path="talk.mov")
project_brief(project_id)          # prefer over full get_project
list_tool_packs() / set_tool_pack("vfx")
get_project(id, detail=true)       # full manifest only when needed

Recipes: talking_head_polish · talking_head_reels · talking_head_space · talking_head_tight · talking_head_infographics.

For full surface (debug): VIDMCP_TOOL_PACK=all.

Related MCP server: media-mcp

Gallery

Sample

GIF

MP4

Creator polish

gif

mp4

Flow field

gif

mp4

Tesseract

gif

mp4

Behind the subject

gif

mp4

Kinetic

gif

mp4

Unit circle

gif

mp4

Pipeline

gif

mp4

Install

Needs: Python 3.11+, ffmpeg, uv recommended

uv tool install vidmcp
vidmcp --doctor

# or
pip install 'vidmcp[creator]'   # + faster-whisper + mediapipe

MCP (Grok / Claude / Cursor)

# Grok
grok mcp add vidmcp \
  -e VIDMCP_SAM_BACKEND=mock \
  -e VIDMCP_WORKSPACE_ROOT=$HOME/vidmcp-workspaces \
  -e VIDMCP_TOOL_PACK=talking_head \
  -e VIDMCP_COMPACT=1 \
  -- uvx vidmcp
{
  "mcpServers": {
    "vidmcp": {
      "command": "uvx",
      "args": ["vidmcp"],
      "env": {
        "VIDMCP_SAM_BACKEND": "mock",
        "VIDMCP_WORKSPACE_ROOT": "/path/to/workspaces",
        "VIDMCP_TOOL_PACK": "talking_head",
        "VIDMCP_COMPACT": "1"
      }
    }
  }
}

Optional real matte on Apple Silicon:

pip install 'vidmcp[mlx]'
export VIDMCP_SAM_BACKEND=mlx
export VIDMCP_MLX_MODEL_ID=mlx-community/sam3.1-bf16

Core product

Segment

Text-prompt subject matte (SAM / MLX / MediaPipe / mock)

Compose

Effects behind the subject

Audio

Denoise, enhance, BGM duck, loudnorm

Captions

Whisper timeline + brand burn-in

Educate

Math plates + speech-locked scenes

Export

16:9 · 9:16 · 1:1 without stretch

create_project → import_video (orient)
  → process_audio → mix_bgm
  → segment_subject | replace_background
  → transcribe_and_caption → export_render

Prefer high-level paths: run_talking_head_polish · apply_recipe · run_quality_gated_pipeline.

Project layout

src/vidmcp/     MCP server, creator tools, perception, effects
demos/samples/  GIFs · MP4s for README & site
site/           vidmcp.com (static Hostinger)
configs/        Claude / Cursor snippets

Author

Dhiraj Lochib — Full-Stack, Blockchain, AI
dhirajlochib.com · GitHub · LinkedIn · dhirajch145@gmail.com

License

MIT

Install Server
A
license - permissive license
C
quality
C
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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