MCP server for ElevenLabs Conversational AI — manage agents, knowledge base, conversations, voices
Twelvelabs MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. MCP server for ElevenLabs Conversational AI — manage agents, knowledge base, conversations, voices.
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.
Once Twelvelabs is connected, these are the calls the assistant has available:
twelvelabs_list_agents — List all agents in your accounttwelvelabs_get_agent — Full config: LLM model, voice, KB docs, webhook, prompt previewtwelvelabs_get_agent_prompt — Full untruncated system prompt texttwelvelabs_update_agent_prompt — Replace system prompt and/or first messagetwelvelabs_update_agent_settings — Change temperature, voice, TTS settings, languagetwelvelabs_update_agent_conversation_capabilities — Enable chat file uploads and set the maximum-duration messagetwelvelabs_list_agent_conversations — Recent conversations for one agenttwelvelabs_get_agent_webhook — Current webhook URLtwelvelabs_set_agent_webhook — Set or remove webhook URLtwelvelabs_list_kb_docs — All KB docs with size and creation datetwelvelabs_get_kb_doc — Full extracted text content of a doctwelvelabs_add_kb_text — Add a plain text documentYou will need one environment variable: ELEVENLABS_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
twelvelabs-mcp-server on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Twelvelabs's toolset — twelvelabs_list_agents, twelvelabs_get_agent, twelvelabs_get_agent_prompt and 11 more — is a fair guide to whether it matches your workflow. It is maintained by micro-JAY; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| 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 |
| 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 |
{
"mcpServers": {
"twelvelabs": {
"command": "node",
"args": ["/path/to/twelvelabs-mcp-server/dist/index.js"],
"env": {
"ELEVENLABS_API_KEY": "your-api-key-here"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| ELEVENLABS_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.