Server data from the Official MCP Registry
Watch your AI drive a real Chrome live, point, approve, or take the wheel from your phone.
About
Watch your AI drive a real Chrome live, point, approve, or take the wheel from your phone.
Security Report
Ridealong is a well-architected MCP server for AI-driven browser automation with strong security guardrails. The codebase demonstrates careful attention to credential handling, input validation, and human-in-the-loop controls. Token-based authentication uses HMAC with expiration, manual-mode input is explicitly never logged or stored, and sensitive operations require approval. Minor code quality issues around error handling and some broad exception catching prevent a higher score, but permissions align well with purpose. Supply chain analysis found 4 known vulnerabilities in dependencies (2 critical, 2 high severity). Package verification found 1 issue.
3 files analyzed · 9 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: RIDEALONG_DATA_DIR
Environment variable: RIDEALONG_LIVE_PORT
Environment variable: RIDEALONG_VIDEO
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-williamblaismedia-create-ridealong": {
"env": {
"RIDEALONG_VIDEO": "your-ridealong-video-here",
"RIDEALONG_DATA_DIR": "your-ridealong-data-dir-here",
"RIDEALONG_LIVE_PORT": "your-ridealong-live-port-here"
},
"args": [
"-y",
"ridealong-mcp"
],
"command": "npx"
}
}
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