mcp-omni-context (0xnurrabby/mcp-omni-context) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: there is no public source to read and no endpoint we can reach, so there is nothing for us to inspect. No publisher has claimed this listing.

Back to MCP Trust Indexm8ven
C
Emerging
74/100
24 days ago

mcp-omni-context

MCP server that gives AI chat real vision by reading images, files, logs, and zip archives via local OCR in any language, with privacy-first processing.

→ 0xnurrabby/mcp-omni-context· listed on glama

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

0xnurrabby

Source: Glama

Is this your MCP?

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Install from

Glama

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// key findings
✅
1 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.
🔐
You'll be asked for 2 credentials: GEMINI_API_KEY, OPENAI_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.
🔐 secretGEMINI_API_KEYyour-gemini-key
configGEMINI_MODELgemini-2.0-flash Override the Gemini model
configMCP_OMNI_ENV_FILEPath to a specific .env file to read
configMCP_OMNI_PSM3 tesseract page-segmentation mode (0–13)
configMCP_OMNI_VERBOSEoff 1 to log OCR/vision progress to stderr
configMCP_OMNI_VISIONauto auto · openai · gemini · tesseract (force local OCR)
🔐 secretOPENAI_API_KEYsk-your-key-here
configOPENAI_BASE_URL
configOPENAI_MODELgpt-4o-mini Override the OpenAI vision model
// quality suggestions

Tool inputs are validated

Only 0/1 tool handlers declare input schemas (0%)

Declare an inputSchema with zod/joi/yup on every tool definition.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

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/0xnurrabby-mcp-omni-context-o9mynp)](https://m8ven.ai/mcp/0xnurrabby-mcp-omni-context-o9mynp)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 49e04f2396b3980bfbea5250f2f5cf31b9e6f72b
code hash: aaaf954366fd7d50d9a3c138bbbe58626186fe025adeaa0280be2c6599b0288d
verified: 8/3/2026, 10:13:00 AM
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