mnemos (jamyouss/mnemos) is an MCP server listed on the M8ven Trust Index. It scores 73 out of 100, grade C. It declares 10 tools. No publisher has claimed this listing.

C
Limited view
73/100
15 days ago

mnemos

Mnemos is an MCP server that brings RAG-powered context retrieval to your Claude agents - semantic search over your codebase, docs, and notes via embeddings + Qdrant.

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

jamyouss

Source: github_code

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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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: MNEMOS_LLM_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configMNEMOS_RESPONSE_BUDGET_CHARS
configMNEMOS_URLexport =http://localhost:8100
configMNEMOS_EVAL_ROOT
configMNEMOS_LLM_PROVIDER
configMNEMOS_LLM_MODEL
🔐 secretMNEMOS_LLM_API_KEY
configMNEMOS_LLM_BASE_URL
configMNEMOS_OLLAMA_URL
configMNEMOS_SERVER_URL
configWATCHER_DEBOUNCE_MS
configCODEBASE_PATH
configCLAUDE_CONFIG_PATH
configQDRANT_HOST
configQDRANT_PORT
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

10/10 tools missing one or more hints — handle_call_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); mnemos_search (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); mnemos_search_code (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +7 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tests exist

No test files found

Add tests that exercise each declared tool.

Shell command execution

1 child_process call — runs shell commands

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// 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/jamyouss-mnemos-11nob5)](https://m8ven.ai/mcp/jamyouss-mnemos-11nob5)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: ec93036230ad3197856c49c47b04a5ec17188237
code hash: 952e8a86ac34ba5208708d74baf8207c42ad53f876fa7853e7beaff2810e7f29
verified: 8/8/2026, 8:38:00 AM
view raw JSON →
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