Server data from the Official MCP Registry
Plain-English analysis of robotics, drone, and IoT data, with intelligent edge data reduction.
About
Plain-English analysis of robotics, drone, and IoT data, with intelligent edge data reduction.
Security Report
Bagel is a well-structured MCP server for analyzing physical sensor data with appropriate authentication patterns and reasonable permission scoping. Code quality is generally good with proper input validation and error handling in most tools. However, several moderate-severity issues exist: unsanitized SQL query execution in query_messages() creates SQL injection risks, insufficient validation of user-provided predicates in preview_pipeline(), potential path traversal in file operations, and overly broad exception handling that could mask errors. These issues are mitigated by the fact that the server is designed for local/trusted environments and the SQL execution uses DuckDB (which has some protections), but they warrant remediation. Supply chain analysis found 10 known vulnerabilities in dependencies (0 critical, 6 high severity).
3 files analyzed · 18 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.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-extelligence-ai-bagel": {
"args": [
"bagel"
],
"command": "uvx"
}
}
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