Speak
Text to natural speech as MP3: 38 voices, 7 languages, 1,000 chars per call. Paid per call, x402.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"speak": {
"url": "https://speak.kaneky.dev/mcp"
}
}
}Remote endpoints
https://speak.kaneky.dev/mcpstreamable-httpWhat it can do
Tool inventory
Tools (1)
⚪speak(speed, text, voice)
Turn up to 1,000 characters of text into natural speech (Kokoro 82M) and return it as an MP3 (64 kbit/s, mono, base64). 38 voices in American and British English, Spanish, French, Hindi, Italian and Brazilian Portuguese; the voice picks the language. Speed 0.5 to 2.0. Longer text: split it at sentence ends and call once per part.
Input Schema
{
"type": "object",
"properties": {
"speed": {
"default": 1,
"maximum": 2,
"minimum": 0.5,
"type": "number"
},
"text": {
"description": "What to say, in the voice's language. At most 1,000 characters.",
"maxLength": 1000,
"minLength": 1,
"type": "string"
},
"voice": {
"default": "af_heart",
"description": "Voice id. a/b = American/British English, e = Spanish, f = French, h = Hindi, i = Italian, p = Brazilian Portuguese; second letter f/m = female/male.",
"enum": [
"af_heart",
"af_alloy",
"af_aoede",
"af_bella",
"af_jessica",
"af_kore",
"af_nicole",
"af_nova",
"af_river",
"af_sarah",
"af_sky",
"am_adam",
"am_echo",
"am_eric",
"am_fenrir",
"am_liam",
"am_michael",
"am_onyx",
"am_puck",
"bf_alice",
"bf_emma",
"bf_isabella",
"bf_lily",
"bm_daniel",
"bm_fable",
"bm_george",
"bm_lewis",
"ef_dora",
"em_alex",
"ff_siwis",
"hf_alpha",
"hf_beta",
"hm_omega",
"hm_psi",
"if_sara",
"im_nicola",
"pf_dora",
"pm_alex"
],
"type": "string"
}
},
"required": [
"text"
]
}Community
Evidence