45
/ 100
13 days ago
glama
vectorlane
Provides a local vector memory store for AI agents with semantic search, offline embeddings, and MCP integration, enabling tools like Claude and Cursor to store and retrieve information without cloud dependencies.
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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.
🔐
You'll be asked for 4 credentials: OPENAI_API_KEY, TALOCODE_API_KEY, TERA_API_KEY, VECTORLANE_AUTH_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.🔐 secret
OPENAI_API_KEY🔐 secret
TALOCODE_API_KEYconfig
TERA_API_BASE_URL🔐 secret
TERA_API_KEY🔐 secret
VECTORLANE_AUTH_TOKENconfig
VECTORLANE_PORTconfig
VECTORLANE_REQUIRE_AUTH// 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 0 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/talocode-vectorlane-1drnsj)commit: 3d71014c7030bbf282737e3997cef85babfab8a2
code hash: f571f79e6272e6b3da3779c89eafc3fb04793c64ea218866e714e2b6a8838f51
verified: 7/18/2026, 8:00:19 AM