Video To Audio Converter Mcp Server
LocalAbout Video To Audio Converter Mcp Server
Video to Audio Converter MCP Server gives MCP clients access to local-setup guidance, FAQs, and official links for a browser-based video audio converter. The converter processes files on-device and supports batch conversion and offline use after loading.
Key features
- 01Local browser-based conversion
- 02Nine video input formats
- 03Seven audio output formats
- 04Adjustable output bitrate
- 05Batch file processing
- 06Offline use after page load
Use cases
- 01Extract audio from recorded interviews
- 02Create audio archives of lectures
- 03Turn screen recordings into narration
- 04Convert video collections to a consistent audio format
MCP support
Provides read-only tools, resources, and prompts about the converter's local-first setup, FAQ, and official links. It requires no API keys.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEVideo to Audio Converter MCP Server
Video to Audio Converter - Free Online MP4 to MP3
A Model Context Protocol server that exposes the canonical Video to Audio Converter knowledge surface — local-first AI workflows, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.
Official website: https://videotoaudioconverter.org
🖥️ About Video to Audio Converter
VideoToAudioConverter.org is a browser-based tool that extracts audio tracks from video files and converts between audio formats, with all processing handled entirely on the user's device. There is no file upload, no server queue, no account registration, and no usage cap. Once the page loads, the converter works offline, using the browser's own processing power to handle the conversion. It accepts nine common video input formats and produces seven audio output formats, covering the full range from compressed streaming codecs to lossless archival formats. The result is a straightforward, private conversion experience that does not depend on third-party infrastructure or cloud credits.
Key Features
- Local processing only - video files never leave the device; the entire conversion job runs inside the browser tab with no data transmitted to external servers
- Nine video input formats - supports MP4, MOV, MKV, WebM, AVI, FLV, WMV, 3GP, and MPEG
- Seven audio output formats - exports to MP3, WAV, AAC, M4A, FLAC, OGG Vorbis, and Opus
- Adjustable output bitrate - MP3 output supports up to 320 kbps; other formats offer comparable quality controls
- No file size cap for modern formats - legacy formats such as AVI cap near 2 GB, while current container formats have no enforced limit
- Batch processing - multiple files can be queued and converted in a single session
- Offline capability - after the initial page load, the tool functions without an active internet connection
Use Cases
- Extracting a clean audio track from a Zoom, Riverside, or Zencastr recording to publish as a podcast episode
- Pulling the audio from a recorded lecture or class session to create an accessible archive or study aid
- Converting a phone screen recording or tutorial video into a narration-only audio file
- Stripping a soundtrack from archival footage or home video for reuse in another project
- Batch-converting a folder of mixed video files into a consistent audio format for a media library
Who Is It For
The site is well suited to anyone who regularly works with video files but only needs the audio — podcasters editing interview recordings, students archiving course content, educators preparing accessible materials, and content creators managing large libraries of mixed-format media. It is equally useful to general users who encounter a one-off conversion need without wanting to create an account or install desktop software. Because it imposes no daily limits, no watermarks, and no signup requirements, it fits naturally into workflows where privacy matters or where cloud-based tools introduce friction through queue times, file size restrictions, or subscription paywalls.
Tools
get_local_setup
Return canonical local-setup guidance for running the AI workflow on-device. (Video to Audio Converter)
Input: no parameters. Returns: text/markdown.
get_official_links
Return the canonical list of official links for Video to Audio Converter (website, support, docs when available).
Input: no parameters. Returns: text/markdown.
Resources
site://videotoaudioconverter/local-setup— Local-first setup notes for on-device AI workflows.site://videotoaudioconverter/faq— Short FAQ generated from public site metadata.site://videotoaudioconverter/links— Canonical URLs to share with users.
Prompts
tell_me_about_videotoaudioconverter
Summarize what the site is, who it's for, and how it works. — Video to Audio Converter
walkthrough_local_setup_videotoaudioconverter
Walk through the local-first setup steps for the site, end-to-end. — Video to Audio Converter
Installation
Install via Smithery
npx -y @smithery/cli install videotoaudioconverter-mcp --client claude
(Replace claude with cursor, windsurf, or continue for those clients.)
Install from source
git clone https://github.com/rocnubie/videotoaudioconverter-mcp.git
cd videotoaudioconverter-mcp
pnpm install
Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):
{
"mcpServers": {
"videotoaudioconverter-mcp": {
"command": "node",
"args": [
"/absolute/path/to/videotoaudioconverter-mcp/src/index.mjs"
]
}
}
}
Debug with MCP Inspector
npx @modelcontextprotocol/inspector node src/index.mjs
Official Links
- Website: https://videotoaudioconverter.org
- About: https://videotoaudioconverter.org/about
- Support: [email protected]
Development
pnpm install
pnpm start # run the server over stdio
License
MIT
Comments
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