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regex-le-mcp

by nolindnaidoo

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    • A
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      Enables AI agents to explain regex patterns in plain English and statically assess ReDoS risk before shipping, without executing the pattern or requiring an API key.
      2
      MIT
    • A
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      Provides tools to test regex patterns for correctness, performance (ReDoS), and memory usage, and suggests safe rewrites. Enables LLMs to iterate on regex generation with verifiable feedback.
      9
      MIT
    • A
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      Enables users to statically analyze regular expressions for catastrophic-backtracking (ReDoS) risk through real AST parsing rather than executing the pattern, flagging nested quantifiers, ambiguous alternation, and backreferences. It also generates candidate proof-of-concept attack strings with a timeout-guarded test snippet and suggests JavaScript-safe rewrites.
      MIT
    • F
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      RegexForge gives AI agents a reliable way to get a regex without asking an LLM to hallucinate one. Pass in labeled examples (strings that should match, strings that shouldn't) plus an optional description; get back the regex, a proof matrix showing it handles every example, and a backtracking-risk audit flagging catastrophic-backtracking patterns. Pure symbolic synthesis over a template bank with
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    • F
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      Lets users generate regex patterns from plain-English descriptions, then verifies them with Python's real re engine against generated positive and negative test strings, iterating on failures until they pass. It exposes this as a tool callable from MCP clients such as Claude Desktop or Claude Code.
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    • A
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      Provides a suite of regex and text processing tools for AI agents, including pattern testing, extraction, and replacement with capture group support. It also enables various text transformations like case conversion, line sorting, and deduplication through the Model Context Protocol.
      41 npm
      MIT