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ElevenLabs MCP Server

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by elevenlabs

text_to_speech

Read-only

Generate speech audio from text using ElevenLabs AI voices. Customize voice parameters and save the output as an audio file.

Instructions

Convert text to speech with a given voice. Saves output file to directory (default: $HOME/Desktop).

Only one of voice_id or voice_name can be provided. If none are provided, the default voice will be used.

⚠️ COST WARNING: This tool makes an API call to ElevenLabs which may incur costs. Only use when explicitly requested by the user.

 Args:
    text (str): The text to convert to speech.
    voice_name (str, optional): The name of the voice to use.
    model_id (str, optional): The model ID to use for speech synthesis. Options include:
        - eleven_v3: High quality model with most expressive voices
        - eleven_multilingual_v2: High quality multilingual model (29 languages)
        - eleven_flash_v2_5: Fastest model with ultra-low latency (32 languages)
        - eleven_turbo_v2_5: Balanced quality and speed (32 languages)
        - eleven_flash_v2: Fast English-only model
        - eleven_turbo_v2: Balanced English-only model
        Defaults to eleven_multilingual_v2 or environment variable ELEVENLABS_MODEL_ID.
    stability (float, optional): Stability of the generated audio. Determines how stable the voice is and the randomness between each generation. Lower values introduce broader emotional range for the voice. Higher values can result in a monotonous voice with limited emotion. Range is 0 to 1.
    similarity_boost (float, optional): Similarity boost of the generated audio. Determines how closely the AI should adhere to the original voice when attempting to replicate it. Range is 0 to 1.
    style (float, optional): Style of the generated audio. Determines the style exaggeration of the voice. This setting attempts to amplify the style of the original speaker. It does consume additional computational resources and might increase latency if set to anything other than 0. Range is 0 to 1.
    use_speaker_boost (bool, optional): Use speaker boost of the generated audio. This setting boosts the similarity to the original speaker. Using this setting requires a slightly higher computational load, which in turn increases latency.
    speed (float, optional): Speed of the generated audio. Controls the speed of the generated speech. Values range from 0.7 to 1.2, with 1.0 being the default speed. Lower values create slower, more deliberate speech while higher values produce faster-paced speech. Extreme values can impact the quality of the generated speech. Range is 0.7 to 1.2.
    output_directory (str, optional): Directory where files should be saved (only used when saving files).
        Defaults to $HOME/Desktop if not provided.
    language: ISO 639-1 language code for the voice.
    output_format (str, optional): Output format of the generated audio. Formatted as codec_sample_rate_bitrate. So an mp3 with 22.05kHz sample rate at 32kbs is represented as mp3_22050_32. MP3 with 192kbps bitrate requires you to be subscribed to Creator tier or above. PCM with 44.1kHz sample rate requires you to be subscribed to Pro tier or above. Note that the μ-law format (sometimes written mu-law, often approximated as u-law) is commonly used for Twilio audio inputs.
        Defaults to "mp3_44100_128". Must be one of:
        mp3_22050_32
        mp3_44100_32
        mp3_44100_64
        mp3_44100_96
        mp3_44100_128
        mp3_44100_192
        pcm_8000
        pcm_16000
        pcm_22050
        pcm_24000
        pcm_44100
        ulaw_8000
        alaw_8000
        opus_48000_32
        opus_48000_64
        opus_48000_96
        opus_48000_128
        opus_48000_192

Returns:
    Text content with file path or MCP resource with audio data, depending on output mode.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
speedNo
styleNo
languageNoen
model_idNo
voice_idNo
stabilityNo
voice_nameNo
output_formatNomp3_44100_128
output_directoryNo
similarity_boostNo
use_speaker_boostNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Description contradicts annotations: readOnlyHint=true suggests no side effects, but the description states it saves a file and makes an API call incurring costs. Per instructions, score 1 for contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long but well-structured: purpose first, then cost warning, then parameter list in order. Every sentence adds value, though some details (e.g., output_format options) could be more concise. Front-loading is effective.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 12 parameters, 1 required, and existing output schema, the description is comprehensive. It covers side effects (file saving, cost), parameter choices, defaults, and return types (file path or MCP resource). No gaps identified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description carries full burden. It provides detailed explanations for all 12 parameters, including ranges (e.g., speed 0.7-1.2), defaults, options for model_id and output_format, and semantics for stability, similarity_boost, etc. This far exceeds what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Convert text to speech with a given voice. Saves output file to directory.', providing a specific verb+resource and distinguishing it from sibling tools like speech_to_text, voice_clone, and text_to_sound_effects.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Includes a cost warning and explicit instruction to only use when requested by the user, plus a constraint that only one of voice_id or voice_name can be provided. Lacks explicit when-not-to-use or alternatives, but the cost warning provides strong guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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