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glama

RLM Memory MCP Server

Provides persistent memory and semantic file discovery for AI coding agents, enabling them to remember changes and find relevant files across sessions.

→ jumpino27/RLM-Memory-MCP-Server· listed on glama
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// key findings
⚠️
Known vulnerabilities in dependencies: 16 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
✅
11 tools verified — handlers match their declared behaviour
6 read-only tools verified — handlers contain no write/delete/exec
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 2 credentials: GEMINI_API_KEY, OPENROUTER_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// known CVEs in dependencies16 high12 low

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

highaxios@1.7.9GHSA-35jp-ww65-95wh

axios Vulnerable to Full Man-in-the-Middle via Prototype Pollution Gadget in `config.proxy`

highaxios@1.7.9GHSA-3g43-6gmg-66jw

axios Vulnerable to Credential Theft and Response Hijacking via Prototype Pollution Gadget in Config Merge

highaxios@1.7.9GHSA-43fc-jf86-j433

Axios is Vulnerable to Denial of Service via __proto__ Key in mergeConfig

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretGEMINI_API_KEY— Google Gemini key — [get one](https://aistudio.google.com/)
configLLM_MAX_TOKENS— 4096 Max output tokens per call
configLLM_MODEL— Want a different model? Set (e.g. anthropic/claude-haiku-4.5 or openai/gpt-4o-mini on OpenRouter). See .env.example for all options.
configLLM_PROVIDER— auto auto / openrouter / gemini. Auto prefers OpenRouter
configLLM_REASONING_EFFORT— low minimal / low / medium / high — thinking depth for helper calls
configLLM_TIMEOUT_MS— 60000 Per-request timeout
🔐 secretOPENROUTER_API_KEY— "sk-or-..."
configRLM_DATA_DIR— install dir>/projects Where project memories are stored (set it to keep data outside the install tree)
configUI_PORT— 3848 Web UI port
// 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/jumpino27-rlm-memory-mcp-server-1su2o1)](https://m8ven.ai/mcp/jumpino27-rlm-memory-mcp-server-1su2o1)
commit: 4c80863106dacd6ae52ac7d0c1f5831cb7d4dbc6
code hash: 482bcbaa63e3193a5a13bdfc0ace3b9114312ad2ce3d2d4e3a61f677482e9d5f
verified: 6/12/2026, 10:29:44 AM
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