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
7.1K

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.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.6K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
9.2K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
7.8K
4 points
P
Paperbanana
Python
9.1K
5 points
F
Finlab Ai
FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.
10.0K
4 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
10.0K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
38.2K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.5K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
25.1K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.9K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.6K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
69.8K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
55.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase