@u3588064
基本情報
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
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EntityIdentification is an MCP (Model Context Protocol) server that compares two sets of data (typically JSON objects) to determine whether they originate from the same real-world entity. It performs text normalization, value comparison (exact and semantic), and uses a generative language model to assess semantic similarity and provide a final judgment.
Install the required dependency with pip install genai, then call the compare_json function with two JSON objects. The function iterates through keys, compares values using normalize_text and compare_values, and finally uses a language model (e.g., gemini-2.0-flash-thinking-exp) to generate a matching result.
The server requires Python with the `genai` library installed (`pip install genai`). It also uses the standard `json` and `re` modules. The language model specified in the example is `gemini-2.0-flash-thinking-exp`.
The language model assesses the semantic similarity of the compared values and provides a final judgment on whether the two sets of data come from the same entity.
No. The README does not mention any external storage or data sharing. The comparison is performed on the provided JSON objects, and the language model is used only for inference.
Yes. The `compare_values` function ignores the order of elements when comparing lists, allowing for semantic matching even if the order differs.
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