memvid-mcp

An MCP server that provides a persistent memory layer for AI agents by wrapping the memvid CLI. It enables users to manage memory files, perform hybrid searches, and conduct RAG-based question answering through 40 specialized tools.

→ Tapiocapioca/memvid-mcp · listed on glama

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// key findings

⚠️

Known vulnerabilities in dependencies: 2 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.

// known CVEs in dependencies2 high

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.6.1GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@1.6.1GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

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// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configMEMVID_LOG_LEVEL— warning Log level: debug, info, warning, error

configMEMVID_PATH— memvid Path to the memvid binary

configMEMVID_VERBOSE— 0 Set to 1 for verbose CLI output

// 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/tapiocapioca-memvid-mcp-a0d07f)](https://m8ven.ai/mcp/tapiocapioca-memvid-mcp-a0d07f)

commit: b93fe3e2ef26c2dd06c49b747748fad13e955dc5

code hash: fe56bc8b4e6ecdcfada3b98acaa4c42ef54afb7fdaf7725c7c7d247695afef64

verified: 6/12/2026, 11:25:15 AM

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