EntityIdentification MCP Server

@u3588064

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

u3588064

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

#entity-resolution #data-comparison #mcp-server

EntityIdentification MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

EntityIdentification MCP Server 工具

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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

Which language model does EntityIdentification use?

The example uses `genai.GenerativeModel("gemini-2.0-flash-thinking-exp")` to generate the final matching result.

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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