mcp-rubriq (trackmind-ai/mcp-rubriq) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. No publisher has claimed this listing.

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C
Emerging
74/100

mcp-rubriq

Grades MCP (Model Context Protocol) servers against a published 28-rule quality rubric. A Claude Code plugin: connects to any MCP server, reads how its tools, resources, and prompts describe themselves, and reports findings with evidence and fixes.

→ trackmind-ai/mcp-rubriq· 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

⚡ Live Monitored: not connected

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Who stands behind it

trackmind-ai

Source: github_code

Is this your MCP?

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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
✅
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.
// 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.
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commit: ebc7fb48337a709c7c7c17a16b8e42fe83013982
code hash: accc9abe0c40a46fac830ad1aa585f4c00c72e60a0c9bd51e5129dc6efff5b91
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