58
grade D
10 days ago
glama

local_lense

A local RAG-powered documentation search system that uses vector embeddings and Qdrant to enable semantic search across markdown, HTML, and other file formats. It provides an MCP interface for AI tools like Cursor to intelligently query and retrieve information from local knowledge bases.

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// key findings
⚠️
Known vulnerabilities in dependencies: 3 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
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.
// 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/jaxsbr-local-lense-11ungi)](https://m8ven.ai/mcp/jaxsbr-local-lense-11ungi)
commit: a1c3733862c2d6d2ebb23762cb3ab9d58eb6ad9c
code hash: a9ca6aa243c9611aeec65d5851c0e20a3a5625b2f232b3977396c05064a88f77
verified: 4/11/2026, 2:45:08 PM
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