"author:nolindnaidoo" matching MCP servers:

Enables AI agents to scan code or text content for hardcoded API keys, passwords, tokens, and private keys, reporting each finding by type, confidence, key name, and position. Secret values are never returned, so credentials can be located and addressed without leaving the machine.

Enables AI agents to check the questions they send to TypeSafe's Jev model, flagging ones written in ways documented to produce bad answers, without making API calls or needing a key. It applies the same rules and project settings file as the editor extension and command line, so findings match what CI reports.

Enables MCP agents to extract every IPv4/IPv6 address, CIDR block, and MAC address from text, normalize and classify them by scope, and report ambiguous forms with their reasons.

Enables agents to pull every file path out of supplied document content — imports, asset references, and config values — and get each one classified as a file, relative, absolute, or URL with its line and column. It works purely on text passed in, reading no files and making no network requests, so codebases can be audited for references that still point at something.

Enables MCP agents to extract every date and timestamp from supplied text content and return each one’s notation, resolved epoch instant, and source line and column, with options for deduplication, date ordering, kind filtering, and result limits.

Provides a tool to extract and validate regex patterns from text content, including flags, positions, and ReDoS risk assessment. Enables AI agents to identify potentially dangerous regular expressions in code or files without needing filesystem access.

Enables agents to extract hardcoded numeric values from supplied text or code across many data and source-code formats, returning values in document order with notation and available line/column positions. Supports deduplication and truncated result sets.