larsenweigle-langextract
Extracts structured information from unstructured text and URLs using Google's LangExtract library and Gemini models, maintaining precise source grounding that maps every extraction to its exact location in the original text for healthcare documents, legal contracts, research papers, and business intelligence workflows.
- Score
- 81.9722 signals
- Evidence
- 33 stars · 7 forks
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
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What it is
MCP server LangExtract, catalogued on PulseMCP. Extracts structured information from unstructured text and URLs using Google's LangExtract library and Gemini models, maintaining precise source grounding that maps every extraction to its exact location in the original text for healthcare documents, legal contracts, research papers, and business intelligence workflows.
When to use it
Extracts structured information from unstructured text and URLs using Google's LangExtract library and Gemini models, maintaining precise source grounding that maps every extraction to its exact location in the original text for healthcare documents, legal contracts, research papers, and business intelligence workflows.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.