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PopNx MCPMCP servers for people who use AI · explained in plain words

Botverse

by MkTurner74version 1.5.1i★ –iRuns on your computer
Registry nameio.github.MkTurner74/botverse

Install

Overview

Description from the maker (original English)

Transcode/conform/splice video, convert docs, transcribe audio for AI agents. Free $1 trial.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio
  • You need to fill in: BOTVERSE_API_KEY, BOTVERSE_CONNECTOR_URL

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: BOTVERSE_API_KEY, BOTVERSE_CONNECTOR_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "botverse": {
      "command": "npx",
      "args": [
        "-y",
        "botverse-mcp"
      ],
      "env": {
        "BOTVERSE_API_KEY": "your-value",
        "BOTVERSE_CONNECTOR_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add botverse --env BOTVERSE_API_KEY=your-value --env BOTVERSE_CONNECTOR_URL=your-value -- npx -y botverse-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "botverse": {
      "command": "npx",
      "args": [
        "-y",
        "botverse-mcp"
      ],
      "env": {
        "BOTVERSE_API_KEY": "your-value",
        "BOTVERSE_CONNECTOR_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "botverse": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "botverse-mcp"
      ],
      "env": {
        "BOTVERSE_API_KEY": "your-value",
        "BOTVERSE_CONNECTOR_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • BOTVERSE_API_KEY secret env
    Your Botverse API key (bv_live_...). Generate at https://botverse.cloud/dashboard/api-keys
  • BOTVERSE_CONNECTOR_URL secret env
    Your Botverse connector URL (https://botverse.cloud/mcp?token=bv_sess_...). Alternative to API key — recommended for claude.ai and browser clients.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account MkTurner74, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2182 servers in this category
  • Published to the registry more recently than 35% of the other 2182 servers in this category
  • Basic checks equal to or better than 100% of the other 2182 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Botverse safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: BOTVERSE_API_KEY, BOTVERSE_CONNECTOR_URL

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.5.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 16,165MITUpdated 5 months ago
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Claude Real Video

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Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
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Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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 Botverse's file storage host, 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)

ToolDescription
get_upload_urlGet a presigned URL to upload a file for use with the _media/_file/_video (object-key-based) tools
transcode_from_urlTranscode video from a public URL
transcode_videoTranscode an uploaded video file
conform_from_urlMux a separate video + audio source (public URLs) into one output
conform_mediaMux an uploaded video + audio source into one output
conform_splice_from_urlConcatenate video/image segments (public URLs) — slates, bumpers, end cards, inserts, joined clips
conform_splice_mediaConcatenate uploaded video/image segments — same use cases
convert_contentConvert document content inline (up to 4 MB; sandbox-safe)
convert_from_urlConvert a document from a public URL
convert_fileConvert an uploaded document
submit_workflowSubmit a multi-step BWDL workflow chaining several of the above tools together, with dependency ordering and parallel branches
get_workflow_statusPoll a workflow (and its per-step status) until it reaches a terminal state
cancel_workflowCancel an in-progress workflow; already-completed steps are billed, the rest are not
get_job_statusPoll a job until complete
get_download_urlGet the signed download URL
get_wallet_balanceCheck wallet balance

Workflows

submit_workflow chains multiple Botverse tools (transcode, convert, transcribe, conform, splice) into one server-side job — e.g. transcribe → clip extraction → delivery — instead of your agent making each call and polling each one individually.

  • Workflow definitions use BWDL (Botverse Workflow Definition Language): a JSON object with a workflow_id and a steps array. Each step has an id, a tool (any MCP tool name), an inputs object, and an optional depends_on array of prior step ids.
  • Steps run in dependency order; steps that share the same depends_on run in parallel.
  • A later step can reference an earlier step's output with "$.steps. .output_key", and a workflow-level parameter with "$.params. " — no other template syntax is supported.
  • Submit with submit_workflow, poll with get_workflow_status every 5–10 seconds until the status is COMPLETED, FAILED, PARTIALLY_FAILED, or CANCELLED, and stop early with cancel_workflow if needed (you're only billed for steps that already completed).
  • Billing: convert-only workflows run on wallet balance at $0.05/step. Workflows containing a transcode or transcribe step require auto-refill to be enabled (billing scales with source duration).

Example — a two-step conversion chain (URL → DOCX → PDF):

{

"workflow_id": "md-to-pdf-via-docx", "steps": [ { "id": "to_docx", "tool": "convert_from_url", "inputs": { "source_url": "https://example.com/report.md", "output_format": "docx" } }, { "id": "to_pdf", "tool": "convert_file", "depends_on": ["to_docx"], "inputs": { "object_key": "$.steps.to_docx.output_key", "output_format": "pdf" } } ] }

Pricing

  • Video transcode (≤5 min): $0.25/job
  • Video overage: +$0.08/min
  • ProRes 422: $0.35/source-min ($0.50 min)
  • Document conversion: $0.05/file

Credits never expire. Full pricing →

Links

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