CorpusGate (mustafa0zdemir/corpusgate) is an MCP server listed on the M8ven Trust Index. It scores 45 out of 100, grade D. It declares 7 tools. No publisher has claimed this listing.

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D
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45/100

CorpusGate

Enables AI tools to securely search and retrieve relevant, source-attributed chunks from private local documents via MCP, without sending document content to third-party services.

→ mustafa0zdemir/corpusgate· listed on glama

Warning. Serious findings were identified. Review the full report before connecting. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

mustafa0zdemir

Source: Glama

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Install from

Glamanot scored here

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
🚨
Reads files from sensitive locations
Touches: /app/.env.example
// quality suggestions

No access to sensitive paths

Reads sensitive paths: /app/.env.example

Remove reads of sensitive system paths. If you genuinely need them, document why in the README.

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 1 concrete improvement we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
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commit: 5448b8203fe394b2e9daa535ae1678ae728357c6
code hash: 40fb0cca4b6984b21103fb0b12a7366355c9f7a93b76e3674abb38c079c5a8eb
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