This MCP extracts string literals, nested objects, and SVG components from source files, converting them into JSON or SVG files for easier management and localization.
Added on:
Created by:
Feb 27 2025
This MCP extracts string literals, nested objects, and SVG components from source files, converting them into JSON or SVG files for easier management and localization.
Added on:
Created by:
Feb 27 2025
Sam
Featured
What is Model Context Protocol Data Extractor?
The MCP Data Extractor scans TypeScript and JavaScript files to extract embedded data such as i18n translations, key/value configurations, and SVG components. It preserves hierarchical structures using dot notation and supports nested objects and arrays. After extraction, it replaces source content with 'MIGRATED TO' for tracking. It also extracts SVGs from React components, removing React-specific code. This process simplifies data migration, localization, and asset management in development workflows.
Who will use Model Context Protocol Data Extractor?
- Developers working with internationalization
- Front-end developers managing SVG assets
- Codebase maintainers migrating configuration data
How to use the Model Context Protocol Data Extractor?
- Step 1: Add the MCP Data Extractor plugin to your MCP Client configuration.
- Step 2: Use the `extract_data` tool with source and target paths to extract i18n or configuration data.
- Step 3: Use the `extract_svg` tool with source and destination paths to extract SVG components.
- Step 4: Optionally disable source file content replacement by setting `DISABLE_SOURCE_REPLACEMENT` environment variable.
Model Context Protocol Data Extractor's Core Features & Benefits
The Core Features
- extract string literals, template literals, and nested objects
- preserve template variables
- support nested arrays and objects
- extract SVG components from React files
- replace source files with 'MIGRATED TO' after extraction
The Benefits
- Simplifies data localization and configuration management
- Streamlines SVG asset extraction
- Helps track processed files
- Supports both TypeScript and JavaScript with JSX
Model Context Protocol Data Extractor's Main Use Cases & Applications
- Internationalization and localization of applications
- Extracting and managing SVG assets in React projects
- Migrating configuration data to JSON files for better management
FAQs of Model Context Protocol Data Extractor
Developer
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
File Systems
Builds supplemental UI and resource files for client apps, enabling rich media asset integration with visual rendering.
Utilizes Jupyter notebooks to interact with MCP servers, filesystems, and memory for complex automation and data tasks.
Enables AI agents to securely read PDF files and extract text, metadata, and page counts via Node.js/TypeScript.
A set of tools for managing and analyzing MCP PDF documents with server and client components.
Provides secure, relative filesystem access for AI agents with batch operations and detailed error reporting.
A Rust-based client for Minecraft patching, enabling file updates and game modifications efficiently.
Provides secure, relative filesystem access for AI agents like Cline and Claude via Node.js server.
A filesystem MCP server enabling an LLM to read and list local directory files for AI integration.
A Node.js MCP server for reading, listing, and searching Excel files within specified directories.
A server for managing plugin communication in Alist, supporting functions like plugin integration and data exchange.