33
/ 100
1 month ago
glama
DialectOS
Spanish dialect localization MCP server and CLI. It translates and QA-checks content across 25 regional variants with register control, structure preservation, and adversarial quality gates.
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// key findings
⚠️
Tests do not pass
Either the test suite is broken or the code regressed. Either way the published behaviour can’t be verified by the publisher’s own tests.
✅
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 3 credentials: LIBRETRANSLATE_API_KEY, LLM_API_KEY, SERPER_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from
process.env. You'll be asked to provide them before it can run.config
ALLOWED_LOCALE_DIRS— "": "/path/to/locales"config
DIALECTOS_CORPUS_DIRconfig
ESPANOL_LOG_LEVELconfig
ESPANOL_MAX_CONTENT_LENGTHconfig
ESPANOL_MAX_FILE_SIZEconfig
ESPANOL_RATE_LIMIT🔐 secret
LIBRETRANSLATE_API_KEYconfig
LIBRETRANSLATE_URLconfig
LLM_ALLOW_LOCALconfig
LLM_API_FORMAT— "": "openai",🔐 secret
LLM_API_KEY— "": "your-key-if-required",config
LLM_API_URL— "": "https://your-llm-gateway/v1/chat/completions",config
LLM_MODEL— "": "your-dialect-capable-model",config
LM_STUDIO_URL— "http://127.0.0.1:1234" \config
PROVIDER_CHAIN🔐 secret
SERPER_API_KEY// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// 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
[](https://m8ven.ai/mcp/kyanitelabs-dialectos-9s3rbf)commit: 9ca978e96fdd9044c4f10da4bf34b0c7247fec29
code hash: d8a8b09e8d29446adf91f4c00d14c41e7695b0698f22d96d1117146c155a2bff
verified: 6/13/2026, 10:25:07 AM