MCP Server: Transforming Code with Seamless Data Extraction
The MCP (Model Context Protocol) Server by UBOS is a groundbreaking tool designed to revolutionize how developers handle embedded data within TypeScript and JavaScript source code. By converting complex code structures into structured JSON configuration files, the MCP Server not only enhances data management but also optimizes the interaction between AI models and external data sources.
Key Features
Data Extraction
- Versatile Data Handling: Extracts string literals, template literals, and complex nested objects, preserving template variables and supporting nested object structures and arrays.
- Comprehensive Language Support: Handles both TypeScript and JavaScript files, including JSX, ensuring broad applicability.
- Source File Replacement: After successful extraction, the server replaces source file content with a migration note, preventing duplicate processing.
SVG Extraction
- Component-Specific Extraction: Extracts SVG components from React, TypeScript, and JavaScript files, preserving SVG structure and attributes while removing React-specific code.
- File Creation: Creates individual .svg files named after their component, ensuring organized asset management.
Usage
The MCP Server offers two primary tools:
- Data Extraction: Ideal for extracting data such as i18n translations from source files, converting them into JSON format.
- SVG Extraction: Facilitates the extraction of SVG components into individual files, streamlining asset management.
Extending Functionality
Developers can extend supported patterns by modifying the source code, adding new node types, custom value processing, and AST traversal.
Use Cases
Enhanced Data Management
For developers working with large-scale applications, the MCP Server simplifies the process of managing embedded data, converting it into easily accessible JSON files. This is particularly beneficial for internationalization (i18n) efforts, where translations can be extracted and managed more efficiently.
Optimized SVG Handling
Designers and developers can benefit from the SVG extraction feature, which allows for the seamless conversion of SVG components into standalone files, facilitating easier integration and management of graphical assets.
AI Model Integration
By standardizing how applications provide context to LLMs, the MCP Server acts as a bridge, enhancing the interaction between AI models and external data sources. This is crucial for businesses looking to leverage AI for data-driven decision-making.
UBOS Platform
UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform helps orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents with LLM models and Multi-Agent Systems. The MCP Server is an integral part of this ecosystem, providing the necessary tools for efficient data handling and AI integration.
In conclusion, the MCP Server by UBOS is an essential tool for developers and businesses looking to optimize their data extraction processes, enhance SVG management, and improve AI model interactions. Its robust features and seamless integration capabilities make it an invaluable asset in the modern development landscape.
Data Extractor
Project Details
- sammcj/mcp-data-extractor
- mcp-data-extractor
- MIT License
- Last Updated: 3/28/2025
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