Gex
Facilitates testing and refining regex patterns against defined test cases with the assistance of Large Language Models.
About
MCPGex empowers Large Language Models (LLMs) to systematically develop and validate regular expression patterns. By defining or generating expected outcomes and iteratively testing patterns against these test cases, it ensures comprehensive coverage and refines regex until all requirements are met. This robust solution for pattern development provides a systematic workflow, ensuring confidence in your regex before deployment through iterative improvement and automated testing.
Key Features
- Test regex patterns against a suite of defined test cases
- Automated feedback for iterative regex refinement
- Define and manage custom test cases for regex patterns
- Clear all test cases to start fresh
- View all currently defined test cases
- 3 GitHub stars
Use Cases
- Iteratively refining regex to meet specific extraction or matching requirements
- Developing robust regular expressions with LLM assistance
- Automating the testing and validation of regex patterns
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