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

Twelvelabs MCP Server

by micro-JAYversion 1.0.1i★ –iRuns on your computer
Registry nameio.github.micro-JAY/twelvelabs-mcp-server

Install

Overview

Description from the maker (original English)

MCP server for ElevenLabs Conversational AI (not TwelveLabs video) — agents, KB, voices

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: ELEVENLABS_API_KEY

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: ELEVENLABS_API_KEY

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": {
    "twelvelabs": {
      "command": "npx",
      "args": [
        "-y",
        "twelvelabs-mcp-server"
      ],
      "env": {
        "ELEVENLABS_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add twelvelabs --env ELEVENLABS_API_KEY=your-value -- npx -y twelvelabs-mcp-server

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": {
    "twelvelabs": {
      "command": "npx",
      "args": [
        "-y",
        "twelvelabs-mcp-server"
      ],
      "env": {
        "ELEVENLABS_API_KEY": "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": {
    "twelvelabs": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "twelvelabs-mcp-server"
      ],
      "env": {
        "ELEVENLABS_API_KEY": "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

  • ELEVENLABS_API_KEY secret required env
    Your ElevenLabs API key

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account micro-JAY, 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 2204 servers in this category
  • Published to the registry more recently than 5% of the other 2204 servers in this category
  • Basic checks equal to or better than 100% of the other 2204 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 Twelvelabs MCP Server 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: ELEVENLABS_API_KEY

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 (1.0.1) reached the registry 7 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

Servers in the same category from other makers, sorted by stars.

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

by HUANGCHIHHUNGLeo

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.

TwelveLabs MCP Server

This project is not affiliated with TwelveLabs (the video understanding platform). It is an MCP server for the [ElevenLabs](https://elevenlabs.io) Conversational AI API — voice agents, knowledge bases, conversations, and TTS. The name "TwelveLabs" is the project codename only.

An enhanced MCP (Model Context Protocol) server that gives any compatible MCP client direct access to the ElevenLabs Conversational AI API -- including capabilities the official ElevenLabs MCP connector doesn't expose.

What this covers

  • Agents -- list, get full config (including LLM model + temperature), update prompt/settings, manage webhooks and file uploads
  • Knowledge Base -- list, read full content, add text/URL docs, delete docs
  • Conversations -- filter and tag history, inspect transcripts, and rerun post-call analysis/evaluations
  • Voices -- list and search available voices

Prerequisites

Quick Start

Option A: npx (no clone needed)
ELEVENLABS_API_KEY=your-key npx twelvelabs-mcp-server
Option B: Clone and build
git clone https://github.com/micro-JAY/twelvelabs-mcp-server.git

cd twelvelabs-mcp-server npm install --include=dev npm run build

Connect an MCP client

Add an equivalent server entry to your MCP client's configuration. The config file location and surrounding syntax vary by client; this is the standard stdio server definition:

{

"mcpServers": { "twelvelabs": { "command": "node", "args": ["/path/to/twelvelabs-mcp-server/dist/index.js"], "env": { "ELEVENLABS_API_KEY": "your-api-key-here" } } } }

Restart or reconnect your MCP client. You should see twelvelabs in its available tools list.

Use it

Ask your MCP-enabled assistant to use the tools, for example:

"List my agents"

"Get the full config for agent_1001kjbh14xce5kbreh55ydf4rae"

"Show me the last 10 conversations for that agent"

"Get the transcript and analysis for conversation_xyz"

Compatibility

This server works with MCP clients that support the stdio transport and let you configure environment variables for a local server process. Clients that only support remote HTTP MCP servers need a compatible stdio bridge or proxy.

Tool Reference

Agent Tools
ToolWhat it does
twelvelabs_list_agentsList all agents in your account
twelvelabs_get_agentFull config: LLM model, voice, KB docs, webhook, prompt preview
twelvelabs_get_agent_promptFull untruncated system prompt text
twelvelabs_update_agent_promptReplace system prompt and/or first message
twelvelabs_update_agent_settingsChange temperature, voice, TTS settings, language
twelvelabs_update_agent_conversation_capabilitiesEnable chat file uploads and set the maximum-duration message
twelvelabs_list_agent_conversationsRecent conversations for one agent
twelvelabs_get_agent_webhookCurrent webhook URL
twelvelabs_set_agent_webhookSet or remove webhook URL
Knowledge Base Tools
ToolWhat it does
twelvelabs_list_kb_docsAll KB docs with size and creation date
twelvelabs_get_kb_docFull extracted text content of a doc
twelvelabs_add_kb_textAdd a plain text document
twelvelabs_add_kb_urlAdd a web page by URL
twelvelabs_delete_kb_docPermanently delete a doc
Conversation Tools
ToolWhat it does
twelvelabs_list_conversationsFilter history by agent, time, success, duration, rating, status, and tags
twelvelabs_get_conversationFull transcript, audio/tag metadata, data collection, and evaluation results
twelvelabs_rerun_conversation_analysisReanalyse a completed conversation using current agent settings
twelvelabs_rerun_conversation_evaluationRerun a single evaluation criterion for a completed conversation
twelvelabs_list_conversation_tagsList workspace conversation tags
twelvelabs_create_conversation_tagCreate a workspace conversation tag
twelvelabs_update_conversation_tagRename a tag or change its description
twelvelabs_assign_conversation_tagsApply one or more tags to a conversation
twelvelabs_remove_conversation_tagRemove a tag from a conversation
twelvelabs_delete_conversation_tagPermanently delete a workspace conversation tag
Voice Tools
ToolWhat it does
twelvelabs_list_voicesBrowse available voices with IDs and labels

Security

  • Input validation -- all tool parameters are validated with Zod schemas before reaching the API
  • HTTPS enforcement -- webhook URLs are validated to use HTTPS only
  • Path traversal protection -- document and agent IDs are sanitized to prevent path traversal
  • Error sanitization -- internal errors are caught and returned as safe MCP error responses; raw stack traces are never exposed to the client

Development

npm run dev   # watch mode with tsx -- auto-reloads on file changes

npm run build # compile to dist/

Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feat/my-feature)
  3. Commit your changes (git commit -m 'feat: add my feature')
  4. Push to the branch (git push origin feat/my-feature)
  5. Open a Pull Request

License

MIT -- see LICENSE for details.

Architecture Note

All tools share a single Axios client instance (src/client.ts) initialised from ELEVENLABS_API_KEY at startup. Tool implementations live in src/tools/ -- one file per domain -- and are registered onto the McpServer in src/index.ts. The server communicates over stdio transport (stdin/stdout), which is why all debug logging uses console.error (stderr), not console.log.

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