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26 days ago
glama
Mimir
Local-first memory and retrieval for private project knowledge. Enables indexing files, searching, and asking questions about project documents using local embeddings and LLM.
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// key findings
🚨
Hardcoded credentials detected
4 live-looking API keys in source: 4 OpenAI API key
🔐
You'll be asked for 1 credential: TAURI_SIGNING_PRIVATE_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
GITHUB_ACTIONSconfig
KB_INCLUDE_EXTENSIONSconfig
PUBLIC_RAGMIR_LANDING_URLconfig
RAGMIR_EMBEDDING_MODELconfig
RAGMIR_EMBEDDING_MODEL_PATHconfig
RAGMIR_EMBEDDING_PROVIDERconfig
RAGMIR_HYBRID_TEXT_SCAN_LIMITconfig
RAGMIR_IMAGE_OCR_COMMAND— as a JSON array, for example ["ragmir-image-ocr","{input}"]config
RAGMIR_IMAGE_OCR_TIMEOUT_MSconfig
RAGMIR_INCLUDE_EXTENSIONS— ".transcript,.evidence" npx ragmir ingestconfig
RAGMIR_LEGACY_WORD_COMMAND— as a JSON array, for example ["ragmir-doc-text","{input}"]config
RAGMIR_LEGACY_WORD_TIMEOUT_MSconfig
RAGMIR_LICENSE_PRIVATE_KEY_JWKconfig
RAGMIR_MCP_MAX_TOP_Kconfig
RAGMIR_PDF_OCR_COMMAND— as a JSON array, for example ["ragmir-pdf-ocr","{input}"]config
RAGMIR_PDF_OCR_TIMEOUT_MSconfig
RAGMIR_TRANSFORMERS_ALLOW_REMOTE_MODELSconfig
RAGMIR_TTS_EDGE_RATEconfig
RAGMIR_TTS_EDGE_VOICEconfig
RAGMIR_TTS_ENGINEconfig
RAGMIR_TTS_LANG— lang enesfr (or ) to switch language: it selects the matching self-containedconfig
RAGMIR_TTS_MODEL— path, a native neural voice. Override the model directly with --model or .config
RAGMIR_TTS_MODEL_PATHconfig
TAURI_DEV_HOSTconfig
TAURI_ENV_DEBUG🔐 secret
TAURI_SIGNING_PRIVATE_KEYconfig
TAURI_SIGNING_PRIVATE_KEY_PATHconfig
XTTS_SPEAKERconfig
XTTS_LANG// 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 6 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/jcode-works-jcode-ragmir-1nnnu1)commit: 76334cbb6ee61367951648b952aa662640a56860
code hash: ac83812370b3f08dc64f73c12974343f4cda362543c3fceca9658c091da893b9
verified: 7/5/2026, 9:04:31 AM