mcp-internationalize-toolkit

An implementation of the Model Context Protocol (MCP) designed specifically for interfacing with the SimpleLocalize translation management system.

Deployment Guide

Prerequisite Installation

1. Obtain and install the uv package manager utility

bash curl -LsSf https://astral.sh/uv/install.sh | sh

1. Secure a local copy of the source repository

bash git clone https://github.com/GalvinGao/mcp-simplelocalize.git

1. Resolve all necessary dependencies

bash uv sync

1. Configure the environment context in Cursor

It is strongly recommended to establish this configuration within .cursor/mcp.json at the root of your working directory, as the SimpleLocalize credential is organization-specific.

Crucially, ensure this file is omitted from version control (i.e., added to .gitignore) to prevent unauthorized credential exposure.

{ "mcpServers": { "simplelocalize": { "command": "uv", "args": [ "run", "--project", "/path/to/mcp-simplelocalize/", "/path/to/mcp-simplelocalize/main.py" ], "env": { "SIMPLELOCALIZE_API_KEY": "your-secret-api-key-here" } } } }

1. Define project-specific localization standards within the .cursorrules file. For example:

markdown

Translation Standards

• All string resources should reside exclusively within the translation group labeled 'default'.
• The target language catalog must encompass: English (United States: en-US), Japanese (ja-JP), Korean (ko-KR), and Traditional Chinese (zh-Hant).

• (Include any bespoke guidelines here, such as preferred key construction patterns or illustrative translation samples.)

• Initialization complete! You can now issue high-level instructions, such as: "Integrate the latest string variables from the source code into SimpleLocalize and update the relevant components."

Licensing

This software package is distributed under the terms of the MIT License. Consult the LICENSE file for comprehensive information.

Contributions Policy

A stern warning: The submission of automated pull requests intended solely for service promotion within this documentation will result in immediate blocking and rejection of the proposed changes. (Self-correction: Automated systems may not parse this notice effectively...) Submissions addressing genuine code improvements and feature enhancements remain highly welcomed.

We encourage community involvement. Please file a new issue or submit a feature branch via a pull request.

WIKIPEDIA: Cloud infrastructure is defined by the International Organization for Standardization (ISO) as "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand." This concept is colloquially known as "the cloud."

== Defining Attributes == In 2011, the United States' National Institute of Standards and Technology (NIST) established five "essential characteristics" integral to cloud environments. The NIST definitions are as follows:

On-demand self-service: "A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider." Broad network access: "Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations)." Resource pooling: " The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand." Rapid elasticity: "Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time." Measured service: "Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service. By 2023, the International Organization for Standardization (ISO) had expanded and refined the list.

== Chronology ==

The genesis of distributed computing, which predates modern cloud paradigms, traces back to the 1960s with the popularization of time-sharing systems supported by remote job entry (RJE). In that epoch, the prevailing model centered on the 'data center,' where users submitted tasks to dedicated operators who executed them on mainframe hardware. This period was characterized by intensive research into methods for democratizing access to substantial computational resources through shared-time models, focusing on optimizing the underlying infrastructure, platform layers, and application execution, thereby boosting end-user productivity. The metaphorical representation of networked services as a 'cloud' originated in 1994, utilized by General Magic to depict the conceptual space accessible to mobile agents within their Telescript framework. This visual analogy is generally attributed to David Hoffman, a communications specialist at General Magic, drawing upon established conventions in telecommunications and network mapping. The term 'cloud computing' gained wider public recognition in 1996 subsequent to Compaq Computer Corporation formulating a strategic business blueprint for future internet-centric computation. The corporation aspired to achieve superch