TwelveLabs MCP Server
This project is not affiliated with TwelveLabs (the video understanding platform). It is an MCP server for the ElevenLabs 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 | What it does |
|---|
twelvelabs_list_agents | List all agents in your account |
twelvelabs_get_agent | Full config: LLM model, voice, KB docs, webhook, prompt preview |
twelvelabs_get_agent_prompt | Full untruncated system prompt text |
twelvelabs_update_agent_prompt | Replace system prompt and/or first message |
twelvelabs_update_agent_settings | Change temperature, voice, TTS settings, language |
twelvelabs_update_agent_conversation_capabilities | Enable chat file uploads and set the maximum-duration message |
twelvelabs_list_agent_conversations | Recent conversations for one agent |
twelvelabs_get_agent_webhook | Current webhook URL |
twelvelabs_set_agent_webhook | Set or remove webhook URL |
| Tool | What it does |
|---|
twelvelabs_list_kb_docs | All KB docs with size and creation date |
twelvelabs_get_kb_doc | Full extracted text content of a doc |
twelvelabs_add_kb_text | Add a plain text document |
twelvelabs_add_kb_url | Add a web page by URL |
twelvelabs_delete_kb_doc | Permanently delete a doc |
| Tool | What it does |
|---|
twelvelabs_list_conversations | Filter history by agent, time, success, duration, rating, status, and tags |
twelvelabs_get_conversation | Full transcript, audio/tag metadata, data collection, and evaluation results |
twelvelabs_rerun_conversation_analysis | Reanalyse a completed conversation using current agent settings |
twelvelabs_rerun_conversation_evaluation | Rerun a single evaluation criterion for a completed conversation |
twelvelabs_list_conversation_tags | List workspace conversation tags |
twelvelabs_create_conversation_tag | Create a workspace conversation tag |
twelvelabs_update_conversation_tag | Rename a tag or change its description |
twelvelabs_assign_conversation_tags | Apply one or more tags to a conversation |
twelvelabs_remove_conversation_tag | Remove a tag from a conversation |
twelvelabs_delete_conversation_tag | Permanently delete a workspace conversation tag |
| Tool | What it does |
|---|
twelvelabs_list_voices | Browse 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
npm run build
Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feat/my-feature)
- Commit your changes (
git commit -m 'feat: add my feature')
- Push to the branch (
git push origin feat/my-feature)
- 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.