Which language model does EntityIdentification use?
The example uses `genai.GenerativeModel("gemini-2.0-flash-thinking-exp")` to generate the final matching result.
EntityIdentification MCP Server
@u3588064
基本信息
关于 EntityIdentification MCP Server
MCP (Model Context Protocol) server for identifying whether two sets of data are from the same entity. 识别两组数据是否来自同一主体的MCP服务器
EntityIdentification MCP Server 配置
EntityIdentification MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is EntityIdentification?
EntityIdentification is an MCP (Model Context Protocol) server that determines whether two sets of JSON data originate from the same real-world entity. It compares values using exact matching, text normalization, and a generative language model for semantic similarity.
How to use EntityIdentification?
Install the required dependency with pip install genai. Use the provided functions normalize_text, compare_values, and compare_json to compare two JSON objects. The server integrates a language model to assess semantic similarity and returns a final judgment.
Key features of EntityIdentification
- Text normalization (lowercase, punctuation removal, whitespace normalization)
- Exact and semantic value comparison
- Ignoring order when comparing list values
- Key-by-key JSON traversal and comparison
- Generative language model for final entity matching
Use cases of EntityIdentification
- Deduplicating customer records from different databases
- Verifying if two form submissions belong to the same person
- Cleaning merged datasets by detecting duplicate entries
- Checking identity consistency across multiple data sources
常见问题
How do I install EntityIdentification?
Install the required package with `pip install genai`. No other setup is mentioned.
Does EntityComparison ignore list order?
Yes. When comparing list values, the server ignores element order for semantic comparison.
What output does the server provide?
After comparing JSON objects key-by-key, it uses a language model to produce a textual judgment on whether the two data sets come from the same entity.
Does EntityIdentification have any known limitations?
The README does not list specific limitations. It only describes the comparison logic and example usage with a single language model.
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