Test ElevenLabs tools instantly in a Meshagent Room! Services and the chatbot are automatically removed when the Room closes. Environment Variables Needed:
  • ELEVENLABS_API_KEY: Your ElevenLabs API key.

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Steps:

  1. Install Meshagent with all dependencies: 
    pip install "meshagent[all]"
  2. Sign up and authenticate:
    See: Meshagent Getting Started
  3. Start ElevenLabs MCP server in a test Room: 
    meshagent service test --room=test --role=agent --image=meshagent/mcp-elevenlabs:latest --env MESHAGENT_PORT=8001 --env ELEVENLABS_API_KEY=<insert-your-api-key-here> --port="num=8001 path=/webhook liveness=/ type=meshagent.callable" --name=mcp-elevenlabs-service-test
    • This command launches a Meshagent Room with the ElevenLabs MCP server. The room and all associated services will shut down if they become inactive.
  4. Start the chatbot in the same Room: 
    meshagent chatbot join --room=test --agent-name=mcp-elevenlabs --name=mcp-elevenlabs --toolkit=mcp-elevenlabs
    • This starts a chatbot in the Room that can access the ElevenLabs toolkit. You can use multiple toolkits per agent in one room.
    • The CLI output will provide a link to the Room.
  5. Visit the Room link in your browser:
    Send messages to the agent to interact with the ElevenLabs MCP server tools live.

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Project Level Deployment: Persistent MCP Services in All Project Rooms

Deploy ElevenLabs MCP server and chatbot as persistent services at the Meshagent project level. This ensures the MCP tools and chatbot appear automatically in every new Room created for your project—perfect for production or multiuser environments. There’s no need to manually run servers or chatbots locally.
  1. Create a persistent MCP server service: 
    meshagent service create --role=agent --image=meshagent/mcp-elevenlabs:latest --env MESHAGENT_PORT=8001 --env ELEVENLABS_API_KEY=<insert-your-api-key-here> --port="num=8001 path=/webhook liveness=/ type=meshagent.callable" --name=mcp-elevenlabs-service
  2. Create a persistent chatbot service: 
    meshagent service create --image="meshagent/cli:latest" --port="num=9001 path=/agent liveness=/ type=meshagent.callable participant_name=mcp-elevenlabs-chatbot" --env="MESHAGENT_PORT=9001" --name="mcp-elevenlabs-chatbot-service" --command="meshagent chatbot service --agent-name=mcp-elevenlabs-chatbot --toolkit=mcp-elevenlabs"

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Tools Available

Below are the ElevenLabs tools available when using this MCP Server:

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Tools Summary

ToolDescription
add_knowledge_base_to_agentAdd a knowledge base to ElevenLabs workspace.
check_subscriptionCheck the current subscription status.
create_agentCreate a conversational AI agent with custom configuration.
create_voice_from_previewAdd a generated voice to the voice library.
get_agentGet details about a specific conversational AI agent
get_voiceGet details of a specific voice
isolate_audioIsolate audio from a file and save the output audio file to a given directory.
list_agentsList all available conversational AI agents
list_phone_numbersList all phone numbers associated with the ElevenLabs account
make_outbound_callMake an outbound call via Twilio using an ElevenLabs agent.
play_audioPlay an audio file.
search_voice_librarySearch for a voice across the entire ElevenLabs voice library.
search_voicesSearch for existing voices in the user’s voice library.
speech_to_speechTransform audio from one voice to another using provided audio files.
speech_to_textTranscribe speech from an audio file and save or return the text.
text_to_sound_effectsConvert text description of a sound effect to audio and save it.
text_to_speechConvert text to speech and save it as an audio file.
text_to_voiceCreate voice previews from a text prompt.
voice_cloneClone a voice using provided audio files.

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Tools Details

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add_knowledge_base_to_agent

Add a knowledge base to ElevenLabs workspace. Allowed types: epub, pdf, docx, txt, html.
  • Parameters:
    • agent_id (string): ID of the agent to add the knowledge base to.
    • knowledge_base_name (string): Name of the knowledge base.
    • input_file_path (string, optional)
    • text (string, optional)
    • url (string, optional)

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check_subscription

Check the current subscription status. Could be used to measure API usage.

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create_agent

Create a conversational AI agent with custom configuration.
  • Parameters (selected):
    • first_message (string)
    • name (string)
    • system_prompt (string)
    • Other optional fields for model, language, retention, etc.

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create_voice_from_preview

Add a generated voice to the voice library using the ID from text_to_voice.
  • Parameters:
    • generated_voice_id (string)
    • voice_description (string)
    • voice_name (string)

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get_agent

Get details about a specific conversational AI agent.
  • Parameters:
    • agent_id (string)

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get_voice

Get details of a specific voice.
  • Parameters:
    • voice_id (string)

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isolate_audio

Isolate audio from a file and save the output audio file to a given directory.
  • Parameters:
    • input_file_path (string)
    • output_directory (string, optional)

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list_agents

List all available conversational AI agents.

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list_phone_numbers

List all phone numbers associated with the ElevenLabs account.

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make_outbound_call

Make an outbound call via Twilio using an ElevenLabs agent.
  • Parameters:
    • agent_id (string)
    • agent_phone_number_id (string)
    • to_number (string)

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play_audio

Play an audio file (WAV/MP3).
  • Parameters:
    • input_file_path (string)

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search_voice_library

Search for a voice across the entire ElevenLabs voice library.
  • Parameters:
    • page (integer, optional)
    • page_size (integer, optional)
    • search (string, optional)

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search_voices

Search for existing voices in the user’s voice library. Searches name, description, labels, and category.
  • Parameters:
    • search (string, optional)
    • sort (string, optional)
    • sort_direction (string, optional)

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speech_to_speech

Transform audio from one voice to another using provided audio files.
  • Parameters:
    • input_file_path (string)
    • output_directory (string, optional)
    • voice_name (string, optional)

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speech_to_text

Transcribe speech from an audio file. Output as file or direct text.
  • Parameters (selected):
    • input_file_path (string)
    • Optional: diarize, language_code, output_directory, etc.

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text_to_sound_effects

Convert a text description into a sound effect and save as audio. Duration: 0.5-5s.
  • Parameters:
    • text (string)
    • duration_seconds (number, optional)
    • output_directory (string, optional)

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text_to_speech

Convert text to speech with a given voice and save it.
  • Parameters (selected):
    • text (string)
    • output_directory (string, optional)
    • voice_id, voice_name, and other voice param fields.

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text_to_voice

Create voice previews from a text prompt. Produces 3 variations, saves as files.
  • Parameters:
    • voice_description (string)
    • output_directory (string, optional)
    • text (string, optional)

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voice_clone

Clone a voice using provided audio files.
  • Parameters:
    • files (array)
    • name (string)
    • description (string, optional)