Botverse MCP server

botverse-mcp

MCP server and command-line tool for Botverse — video transcoding and document conversion for AI agents and the humans who configure them.

What it does

• Video transcoding — MP4 (H.264), WebM (VP9), ProRes 422, GIF, MP3 extraction · $0.25/job
• Video/audio conform — mux a separate video and audio source into one output, reconciling frame-rate and duration mismatches (including true pulldown-style speed conforms, e.g. 24→25fps) · $0.30/job
• Conform splice — concatenate video and/or still-image segments into one output: head slates/bumpers, tail slates/end cards, mid-roll inserts/cutaways, or joining clips together · from $0.30/job
• Document conversion — Markdown ↔ DOCX ↔ PDF ↔ HTML ↔ XLSX · $0.05/file
• Transcription — speaker-labelled transcripts (diarization + AI speaker naming) → txt/srt/vtt/docx/pdf · ~$3/hour
• Workflows — chain multiple Botverse operations (transcode, convert, transcribe, conform, splice) into a single multi-step job with automatic dependency ordering and parallel branches, instead of orchestrating each call yourself · convert-only steps run on wallet balance ($0.05/step); transcode/transcribe steps bill by source duration and require auto-refill

Two ways to use it: an MCP server for your AI agents, and a botverse CLI for the shell — evaluation, CI/CD, cron, scripts, and local coding agents. No AWS. No FFmpeg. No infrastructure.

Setup

1. Sign up at botverse.cloud — free to try: $1 credit on signup, no card required. A card + 2FA are only needed at your first top-up ($5 min). No monthly fees.
2. Get an API key or connector URL from your dashboard
3. Add to your MCP client config

Usage

Claude Desktop / Cursor / Windsurf

{
  "mcpServers": {
    "botverse": {
      "command": "npx",
      "args": ["-y", "botverse-mcp"],
      "env": {
        "BOTVERSE_API_KEY": "bv_live_..."
      }
    }
  }
}

Or with a connector URL (recommended for claude.ai):

{
  "mcpServers": {
    "botverse": {
      "command": "npx",
      "args": ["-y", "botverse-mcp"],
      "env": {
        "BOTVERSE_CONNECTOR_URL": "https://botverse.cloud/mcp?token=bv_sess_..."
      }
    }
  }
}

Command line (botverse)

The same package ships a botverse CLI for the shell — it reads files from disk and streams them straight to the API (no content goes through an LLM), so it's the fast path for evaluation, automation, and local coding agents.

export BOTVERSE_API_KEY=bv_live_…        # or BOTVERSE_CONNECTOR_URL=…?token=bv_sess_…

npx botverse convert report.md --to pdf
npx botverse convert *.md --to docx,pdf -o ./out
npx botverse transcode clip.mov --to mp4 -o ./out
npx botverse transcribe call.mp4 --to docx --attendees "Sarah Chen,Mike Torres"
npx botverse conform video.mp4 audio.wav --to mp4 --method speed_conform --target-framerate 25
npx botverse balance

Each job uploads → polls → downloads the finished file to -o (default: current dir). Globs and multiple --to formats run as a batch.

Sandbox note: the CLI needs outbound network to botverse.cloud and S3, so it does

not run inside sandboxed agent environments (claude.ai / Claude Desktop), whose

egress is allowlisted. There, use the MCP tools (e.g. convert_content) instead.

Tools (MCP)

Shortened. The full README is on GitHub.