Key-Value Extractor
Extracts structured key-value pairs from unstructured text using a multi-step pipeline that performs language detection, entity recognition, and type validation for applications requiring information extraction from messy sources like emails or receipts.
About
The Flexible Key-Value Extraction MCP Server extracts structured key-value pairs from unstructured or noisy text using a multi-step pipeline powered by GPT-4.1-mini and pydantic-ai. Developed by KunihiroS, it performs language detection and named entity recognition with spaCy before using LLMs for extraction, type annotation, evaluation, and normalization. The server supports Japanese, English, and Chinese inputs, ensures type safety through Pydantic validation, and returns results in JSON, YAML, or TOML formats. It's particularly valuable for applications requiring information extraction from messy text like emails, receipts, or documents where maintaining proper data types and structure is essential.
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