Open Video Guide MCP Server
Exposes Open Video Guide functions to MCP clients, enabling conversion of tutorial videos into illustrated, verifiable guides with timestamps, evidence, and review states.
README
Open Video Guide
Open Video Guide converts a tutorial video into an illustrated guide.
The project is local-first and open source. It does not require a paid AI API. Users supply the computer, storage, network bandwidth, and electricity.
[!IMPORTANT] This repository contains the engineering foundation. It does not contain a working video conversion pipeline yet.
Product goal
The product must make each generated step easy to verify. Each step must include a timestamp, visual evidence, confidence data, and a review state.
The first release will process user-owned video files. It will support narrated and silent screen recordings. It will export Markdown, HTML, and structured JSON.
Product difference
Most products extract a transcript and make a summary. Open Video Guide will connect each instruction to evidence from the source video.
The product will:
- Keep all processing on the local computer after model download.
- Mark uncertain instructions for review.
- Keep source timestamps with each step.
- Select useful screenshots for each instruction.
- Let the user correct the result before export.
- Use replaceable model and platform adapters.
Planned local pipeline
Video file
|
+-- FFmpeg: media inspection and extraction
+-- whisper.cpp: narrated speech and timestamps
+-- PySceneDetect: scene and motion candidates
+-- PaddleOCR: text visible in frames
+-- Qwen3-VL through MLX-VLM: visual step analysis
|
Evidence merge and verification
|
Editable guide
|
Markdown, HTML, JSON, and screenshots
The architecture also permits other runtimes. For example, Linux systems can use faster-whisper and a CUDA model server.
Integration plan
One Model Context Protocol (MCP) server will expose the product functions. Transport adapters will support these clients:
- ChatGPT and Codex plugins
- Claude and other MCP clients
- Odysseus local workspaces
- Command-line and local web clients
Odysseus is the correct name of the PewDiePie project. It is a self-hosted AI workspace that can connect to MCP servers.
See docs/INTEGRATIONS.md for the verified plan.
Repository map
| Path | Purpose |
|---|---|
src/open_video_guide |
Stable Python contracts and future engine code |
schemas |
Versioned interchange contracts |
examples |
Synthetic contract examples |
docs |
Product and engineering records |
.github |
Review, issue, dependency, and continuous integration controls |
Current commands
Use Python 3.11 or a later compatible version.
python -m pip install -e ".[dev]"
ovg validate examples/example-guide.json
pytest
python scripts/check_ste.py
The validate command checks a guide against the public JSON schema.
Video processing commands will arrive in a later milestone.
Development status
The project is in phase 0. The repository now defines scope, contracts, quality gates, and contribution rules.
See these documents:
- Product requirements
- System architecture
- AI system plan
- MCP tool contract
- Development workflow
- Quality plan
- Roadmap
Writing standard
Project technical text must obey ASD-STE100 Simplified Technical English, Issue 9. The project uses an approved terminology list for software terms.
The automated checker finds only some rule violations. A trained reviewer must do the final language review.
Legal text and exact source text are not changed. See docs/STE_STYLE_GUIDE.md.
License
The project source uses the Apache License 2.0. Model files and third-party programs keep their own licenses.
See LICENSE and docs/MODEL_LICENSE_POLICY.md.
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