39
grade F
1 hour ago
pulsemcp
TeaRAGs
Provides semantic code search across large codebases using vector embeddings and AST-aware chunking with git metadata integration for intelligent code discovery and 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.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// required environment variables
This server reads these from
process.env. You'll be asked to provide them before it can run.config
EMBEDDING_BASE_URLconfig
EMBEDDING_BATCH_SIZEconfig
EMBEDDING_CONCURRENCYconfig
EMBEDDING_DEVICEconfig
EMBEDDING_DIMENSIONconfig
EMBEDDING_MODELconfig
EMBEDDING_PROVIDERconfig
HF_CACHE_DIRconfig
MEDIAN_CODE_CHUNK_SIZEconfig
ONNX_MODELconfig
QDRANT_EMBEDDED_STORAGE_PATHconfig
QDRANT_FLUSH_INTERVAL_MSconfig
QDRANT_URLconfig
TEA_RAGS_DATA_DIRconfig
TUNE_SAMPLE_SIZE// 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 1 concrete improvement 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/artk0de-tearags-mcp-ht7y05)commit: 5f3cbe337acf1117188c85cf4193bc9ac355b060
code hash: 4055221a8e0b8f08df44765055625d91ddcdede52b8e393ef7bdf56cdfe02fcd
verified: 4/28/2026, 9:32:40 AM