Key Value Extractor
K

Key Value Extractor

An LLM-based key-value pair extraction MCP server that can automatically identify and extract key-value pairs from any unstructured text, supports multi-language preprocessing and multiple output formats, and ensures type safety.
2 points
6.0K

What is this MCP server?

This is an MCP server based on large language models (LLMs) that can automatically extract key-value pairs from messy or unstructured text and ensure the security of the output data types. It is particularly good at handling data with unknown structures without the need for predefined keys.

How to use this MCP server?

Through a simple API call, you can input any text, and the server will return the processed key-value pairs, supporting JSON, YAML, and TOML formats.

Applicable scenarios

Suitable for scenarios where structured data needs to be extracted from messy text, such as order information, customer feedback, or log analysis.

Main Features

Automatic key discovery
The server can independently identify and extract relevant key-value pairs without the need for predefined keys.
Multi-language support
Supports Japanese, English, and Chinese (Simplified/Traditional), and uses spaCy for named entity recognition.
Type safety
Achieves final data structuring and type validation through Pydantic to ensure reliable output.
Multi-format output
Supports JSON, YAML, and TOML formats to meet different needs.
Robust processing
Even when faced with complex or imperfect data, it can try to extract as much information as possible.
Advantages
Extract key-value pairs without predefined keys.
Support multiple languages and complex data formats.
Ensure type safety and data integrity.
Always return a structured response, even in case of failure.
Limitations
Completely accurate extraction cannot be guaranteed.
Long texts may take longer to process.
TOML format has limited support for arrays or nested structures.

How to Use

Install the MCP server
Quickly install via the Smithery tool or run the server manually.
Configure environment variables
Set the OpenAI API key.
Run the server
Start the MCP server and begin processing requests.

Usage Examples

Order information extraction
Extract key information from order text.
Customer feedback analysis
Extract useful information from customer feedback.

Frequently Asked Questions

Why wasn't my text fully extracted?
Which languages are supported?
How to handle long texts?

Related Resources

Project homepage
Visit GitHub for more information.
Documentation
View detailed usage instructions and API documentation.
Video tutorial
Watch a video tutorial on how to quickly get started with the MCP server.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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