Entity Identificationn MCP Server

What is EntityIdentification?

EntityIdentification is an MCP server that compares two sets of data—typically JSON objects—to determine whether they originate from the same entity. It combines text normalization, exact and semantic value comparison, and a generative language model to produce a final matching judgment.

How to use EntityIdentification?

Install the required dependency (pip install genai), then call the server’s functions—normalize_text, compare_values, and compare_json—with your data. The compare_json function compares two JSON objects key-by-key and returns a result that a language model uses to decide entity identity.

Key features of EntityIdentification

• Text normalization (lowercasing, punctuation removal, whitespace normalization)
• Exact and semantic comparison of values
• List order‑agnostic comparison for arrays
• Recursive JSON key‑by‑key traversal
• Language model integration for final entity‑matching decision

Use cases of EntityIdentification

• Deduplicate customer records from separate databases
• Match product listings across different e‑commerce platforms
• Resolve identity in datasets from merged organizations