mcp-kokoro-tts (mrfqcentic/mcp-kokoro-tts) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 2 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

mcp-kokoro-tts

Enables MCP clients to synthesize text into speech locally and play it through the machine's audio, with selectable voices and playback speed.

→ mrfqcentic/mcp-kokoro-tts· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

mrfqcentic

Source: Glama

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 2 credentials: HF_TOKEN, HUGGINGFACE_HUB_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configTTS_MODEL_DIROverride model cache directory
configXDG_CACHE_HOME
configTTS_HF_CACHE_DIROverride Hugging Face hub cache directory
configTTS_OUTPUT_DIRDirectory for generated WAV files
🔐 secretHF_TOKENOptional Hugging Face token for faster downloads
🔐 secretHUGGINGFACE_HUB_TOKEN
configTTS_VOICE1. env var — voice id or absolute .pt path
configTTS_PLAYSet to 0 to synthesize without local playback
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

2/2 tools missing one or more hints — speak (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_voices (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool test coverage

Only 0/2 tools referenced in tests (0%)

Write tests that reference each tool by name so every tool has at least one test.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/mrfqcentic/mcp-kokoro-tts)](https://m8ven.ai/mcp/mrfqcentic/mcp-kokoro-tts)
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commit: 17ca391ee6e84baa1e00e46cbd456962e00c02d9
code hash: 68bd1ce8c5dd6d07faee3ddfe0983f6ba5dabf8e92deff9f95e5ee3ff7fc11af
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