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8 days ago
glama

vector-mcp

Integrates RAG into AI agents via MCP Server, supporting multiple vector database technologies for collection management and search operations.

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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 1 credential: LLM_API_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.
🔐 secretLLM_API_KEYalias accepted if LLM_TOKEN is unset
configDEFAULT_AGENT_NAME
// 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 4 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/craftingcodegig-vector-mcp-1jiy3g)](https://m8ven.ai/mcp/craftingcodegig-vector-mcp-1jiy3g)
commit: eeff63315967dbab1a1eefe6f04fe84c08fe543c
code hash: ee5ccb0a20c2936c9c1446e8fef0eb4ebde36157cd703a51d2d2d5bdfb400dd1
verified: 7/23/2026, 9:11:55 AM
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