Add MseeP.ai badge

[lwsinclair]

Hi there,

This pull request shares a security update on WilmerAI.

We also have an entry for WilmerAI 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 WilmerAI.

You can easily take control over your listing for free: visit it at https://mseep.ai/app/someoddcodeguy-wilmerai.

Yours Sincerely,

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

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Here are our latest evaluation results of WilmerAI

Security Scan Results

Security Score: 74/100

Risk Level: moderate

Scan Date: 2025-06-18

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

Security Findings

Medium Severity Issues

• 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: Middleware/utilities/sql_lite_utils.py
  • Line: 40

• 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: Middleware/utilities/sql_lite_utils.py
  • Line: 60

• ... and 3 more medium severity issues

Low Severity Issues

• semgrep: Use of base64 decoding detected. This might indicate obfuscated code.

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.