LangExtract MCP Server
Rank #9188glama/larsenweigle/langextract-mcp
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.
LangExtract MCP Server is a Model Context Protocol (MCP) server published by larsenweigle. It ranks #9188 of 58,832 servers tracked on MCP Toplist, and its repository has 30 GitHub stars. LangExtract MCP Server is listed across 2 registries — Glama and PulseMCP, and ships as a single rolling release with no explicit version metadata. It was first listed on Aug 5, 2025.
Ranks ahead of 49,644 of 58,832 servers on MCP Toplist.
Listed on 2 registries
larsenweigle
Other servers by larsenweigle
View all larsenweigle servers →Not versioned
This server is published through registries that do not expose explicit version metadata. The listing tracks a single rolling release.
Frequently asked questions
- What is LangExtract MCP Server?
- 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.
- Who maintains LangExtract MCP Server?
- LangExtract MCP Server is maintained by larsenweigle, which publishes 2 MCP servers (0 total versions) tracked on MCP Toplist.
- Is LangExtract MCP Server an official MCP server?
- LangExtract MCP Server is not on the Official MCP Registry. It is listed on Glama and PulseMCP.
- How many versions does LangExtract MCP Server have?
- LangExtract MCP Server ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for LangExtract MCP Server?
- The source code for LangExtract MCP Server is hosted at github.com/larsenweigle/langextract-mcp.