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Text to natural speech as MP3: 38 voices, 7 languages, 1,000 chars per call. Paid per call, x402.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
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Claude
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TDQS

A4.4/5.0

Scored across 1 tool

Disambiguation5/5

With a single tool there is nothing to confuse it with; the tool's purpose (text-to-speech synthesis) is unmistakable from its name and description. An agent will always select it correctly for speech generation.

Naming Consistency5/5

The lone name 'speak' is a clear lowercase verb that reads naturally as an action. There is no competing convention to create inconsistency, and it is self-explanatory.

Tool Count4/5

One tool is essentially correct for a narrowly scoped TTS server, and the description packs the parameters (voice, speed, format, chunking guidance) into that single entry. It is slightly thin in that a companion voice-discovery tool would have been a natural second member of the set.

Completeness3/5

Synthesis itself is fully covered, including long-text chunking guidance, but the surface offers no way to enumerate the advertised 38 voices or their language mappings, leaving agents to guess voice identifiers. That is a notable gap even though a default voice makes the tool usable.

Available Tools

1 tool
speakAInspect

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.

Inputs: text (required), speed, voice.

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