Hi there,

This pull request shares a security update on mir-eval-autolab.

We also have an entry for mir-eval-autolab in our directory, MseeP.ai, where we provide regular security and trust updates on your app.

We invite you to add our badge for your MCP server to your README to help your users learn from a third party that provides ongoing validation of mir-eval-autolab.

You can easily take control over your listing for free: visit it at https://mseep.ai/app/romot-co-mir-eval-autolab.

Yours Sincerely,

Lawrence W. Sinclair
CEO/SkyDeck AI
Founder of MseeP.ai
MCP servers you can trust

Here are our latest evaluation results of mir-eval-autolab

Security Scan Results

Security Score: 95/100

Risk Level: low

Scan Date: 2025-05-08

Score starts at 100, deducts points for security issues, and adds points for security best practices

Security Findings

Medium Severity Issues

• semgrep: Use of subprocess with shell=True detected. This can be dangerous if used with untrusted input.

  • Location: src/cli/setup_claude_integration.py
  • Line: 444

• semgrep: Avoiding SQL string concatenation: untrusted input concatenated with raw SQL query can result in SQL Injection. In order to execute raw query safely, prepared statement should be used. SQLAlchemy provides TextualSQL to easily used prepared statement with named parameters. For complex SQL composition, use SQL Expression Language or Schema Definition Language. In most cases, SQLAlchemy ORM will be a better option.

  • Location: src/mcp_server_logic/session_manager.py
  • Line: 621

This security assessment was conducted by MseeP.ai, an independent security validation service for MCP servers. Visit our website to learn more about our security reviews.