elevenlabs-voice-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ELEVENLABS_API_KEY | Yes | Your ElevenLabs API key (free key: elevenlabs.io → Profile → API Keys) | |
| ELEVENLABS_MODEL_ID | No | Override the default model ID | |
| ELEVENLABS_VOICE_ID | No | Override the default voice ID |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_voicesA | List the ElevenLabs voices available on the configured account (id + name + labels). |
| text_to_speechB | Convert text to speech with ElevenLabs, save it as an MP3, and (optionally) play it. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one lists available voices, the other converts text to speech. There is no overlap or ambiguity in their functions.
Both tools use snake_case, but the pattern differs: 'list_voices' is a clear verb_noun construction, while 'text_to_speech' is a noun phrase describing the action. This is a minor inconsistency, but both names are intuitive and readable.
With only two tools, the server feels minimal. While both tools are essential for the primary TTS workflow, the scope is narrow and might be insufficient for users expecting voice management capabilities.
The core workflow of listing voices and generating speech is covered. However, missing operations like fetching individual voice details or managing voices create minor gaps that agents could work around by using the list result.