Entity-Resolution

Entity-Resolution

3.2

If you are the rightful owner of Entity-Resolution and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

This is a MCP (Model Context Protocol) server.

The EntityIdentification server is a Model Context Protocol (MCP) server designed to identify whether two sets of data originate from the same entity. It provides a comprehensive data comparison tool that evaluates both exact and semantic equality of values. The tool leverages text normalization and a language model to determine the similarity between data sets. It is particularly useful for applications requiring entity resolution, such as data integration, deduplication, and record linkage. The server supports JSON data format and uses a generative language model to assess semantic similarity, providing a final judgment on the entity match.

Features

  • Text Normalization: Converts text to lowercase, removes punctuation, and normalizes whitespace.
  • Value Comparison: Compares values directly and semantically, ignoring order for lists.
  • JSON Traversal: Iterates through each key in the JSON objects and compares corresponding values.
  • Language Model Integration: Uses a generative language model to assess semantic similarity and provide a final judgment on whether the data comes from the same entity.