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10 days ago
glama

codebase-analyser

Enables AI agents and IDEs to ingest and search code repositories using hybrid retrieval (dense + sparse) with exact line-level citations for precise code analysis.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 4 credentials: AICA_OPENAI_API_KEY, AICA_GEMINI_API_KEY, HF_TOKEN, AICA_HF_TOKEN
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.
configAICA_DATA_DIR
configAICA_LLM_PROVIDER$env:="gemini"
configAICA_OPENAI_BASE_URL
🔐 secretAICA_OPENAI_API_KEY
configAICA_OPENAI_MODEL
🔐 secretAICA_GEMINI_API_KEY$env:="YOUR_GEMINI_API_KEY"
configAICA_GEMINI_MODEL$env:="gemini-2.5-pro"
configAICA_OLLAMA_BASE_URL
configAICA_OLLAMA_MODEL
configAICA_EMBED_MODEL
🔐 secretHF_TOKEN
🔐 secretAICA_HF_TOKEN
configAICA_HF_MODEL
configPORT
configSTREAMLIT_SERVER_FILE_WATCHER_TYPE
// 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 5 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/akshith120-repomind-1uwx5v)](https://m8ven.ai/mcp/akshith120-repomind-1uwx5v)
commit: 5092d9f8f7b2792a3a0111d00dde95dc55ee3354
code hash: 1d56b0a25a14c75fa75a1d80b85fbeaccf3b5425f8b764738b078bf84a5ab260
verified: 7/21/2026, 8:47:16 AM
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