graphmind-ai-lab (mauriciobs666/graphmind-ai-lab) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 18 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

graphmind-ai-lab

Experiments with graphs and LLMs

→ mauriciobs666/graphmind-ai-lab· listed on github_code

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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

mauriciobs666

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 →

⚡ Connect GitHub for Live Monitored

Install from

GitHub

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
✅
18 tools verified — handlers match their declared behaviour
1 read-only tool 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.
✅
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 2 credentials: LMSTUDIO_API_KEY, FALKORCHAT_TRIGGER_DEF_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.
configFALKORDB_HOST
configCYPHER_MCP_CURATOR_AGENTS
configLMSTUDIO_BASE_URL
🔐 secretLMSTUDIO_API_KEY
configLOG_DIR
configLOG_SESSION_HANDLER_LIMIT
configLOG_EXCLUDE_PREFIXES
configSESSION_TTL_SECONDS
configLOAD_BASE_URL
configLOAD_WORKERS
configLOAD_MESSAGES
configLOAD_EMIT
configEVAL_WS
configEVAL_USER_ID
configEVAL_USER_NAME
configEVAL_AGENT_ID
configEVAL_AGENT_NAME
configRESEED
configNLQ_EVAL_WS
configNLQ_EVAL_BASE_URL
configFORCE_REINGEST
configNLQ_EVAL_POLL_ATTEMPTS
configNLQ_EVAL_POLL_INTERVAL_S
configFALKORCHAT_WS_ID
configFALKORCHAT_USER_ID
configFALKORDB_PORT
configFALKORDB_CONNECT_TIMEOUT
configFALKORDB_SOCKET_TIMEOUT
configFALKORCHAT_EMBEDDING_DIM
configFALKORCHAT_OPENCODE_CONFIG
configFALKORCHAT_AGENT_ID
configFALKORCHAT_AGENT_NAME
🔐 secretFALKORCHAT_TRIGGER_DEF_KEY
configFALKORCHAT_TRIGGER_DEF_VERSION
configFALKORCHAT_WORKFLOW_SWEEP_INTERVAL_S
// quality suggestions

Tool annotations

1/18 tools have annotations

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

All four hints declared on every tool

18/18 tools missing one or more hints — get_status (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); query (missing: destructiveHint, idempotentHint, openWorldHint); send_message (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +15 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.

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 2 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/mauriciobs666/graphmind-ai-lab)](https://m8ven.ai/mcp/mauriciobs666/graphmind-ai-lab)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 4bb96e18da9bb40e766ad2ae7f0fa54f3a3e393b
code hash: aa8a71438b7d4f900799ada9bd7c8119dfda6522eda4307be9b71a573bbfb97d
view raw JSON →
Check MCPs from inside your assistant
Tool Check · MCP

Vetting this one by hand? Tool Check is an MCP that scores other MCPs. Add it once and ask Claude, ChatGPT, or any MCP client to grade a server, surface CVEs, check the publisher, and suggest safer alternatives — before you install.

https://m8ven.ai/api/mcp/tool-check
check_toolsearch_toolscompare_toolsrecommend_alternativescheck_publisherreport_concern
How to add it →Free · no account needed · works in any MCP client