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Lint, curate & prepare computer-vision datasets from your AI assistant — MCP server, 67 tools
About
Lint, curate & prepare computer-vision datasets from your AI assistant — MCP server, 67 tools
Security Report
PixLint is a well-structured MCP server for computer vision dataset management with strong security controls in place. Path validation, credential handling via environment variables, and rate limiting are implemented across tools. However, there are some code quality issues around input validation consistency, error handling patterns, and potential edge cases in cloud credential handling that warrant attention before production use. Supply chain analysis found 15 known vulnerabilities in dependencies (0 critical, 9 high severity). Package verification found 1 issue.
4 files analyzed · 24 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: CV_DATA_DIR
Environment variable: CV_WORKSPACE
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-amitsingh-24-pixlint": {
"env": {
"CV_DATA_DIR": "your-cv-data-dir-here",
"CV_WORKSPACE": "your-cv-workspace-here"
},
"args": [
"pixlint"
],
"command": "uvx"
}
}
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