C
Emerging
74/100
1 day ago

Lujo-MCP

An AI-powered debugging MCP server that detects silent failures, captures browser network requests, and enables automated diagnostics, root-cause analysis, and multi-agent repair through MCP tools.

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

lujoai

Source: Glama

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 →

Install from

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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.
// 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

1/1 tools missing one or more hints — dynamic_tool_152 (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). 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.

Tool test coverage

Only 0/1 tools referenced in tests (0%)

Write tests that reference each tool by name so every tool has at least one test.

Shell command execution

2 child_process/subprocess calls in production code — runs shell commands (npm/packages/lujo-mcp/bin/cli.js:68, app/main.py:187)

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/lujoai-lujo-mcp-8s0x5y)](https://m8ven.ai/mcp/lujoai-lujo-mcp-8s0x5y)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: cdf6ac783b15b0c408b42a07e6e28ffe2e3c16ac
code hash: baadb103be311b7a7aa2d30c0e86050074bb9334d66397238960cc3e04f71c5f
verified: 8/18/2026, 7:05:52 PM
view raw JSON →
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