Overview of mcp‑simplelocalize

mcp-simplelocalize is a Model Context Protocol (MCP) server that bridges AI assistants with the SimpleLocalize platform. It allows developers to issue natural‑language requests from an LLM and have those requests automatically translated, organized, and stored in SimpleLocalize’s project. By exposing the SimpleLocalize API through MCP, the server removes the need for custom integration code and lets AI agents handle localization workflows as first‑class operations.

The server solves the recurring pain point of managing multilingual assets in modern web and mobile projects. When a developer or product owner asks the AI to “localize this component,” the MCP server receives the prompt, interprets it against the project’s , and then calls SimpleLocalize to create or update translation keys, namespaces, and language files. This eliminates manual copy‑paste of strings, reduces errors in key naming conventions, and ensures that all translations stay synchronized with the codebase. For teams already using SimpleLocalize for translation management, mcp‑simplelocalize provides a seamless, AI‑driven interface that speeds up the localization cycle from ideation to deployment.

Key capabilities of the server include:

• Contextual translation – The MCP server reads the developer’s project context (namespace, supported languages, key conventions) from and applies it when generating translation keys.
• API key isolation – The SimpleLocalize API key is supplied via environment variables, keeping credentials secure and project‑specific.
• Command execution – The server is launched with a simple command, allowing it to be started and stopped as part of an existing development workflow.
• Extensible prompt handling – By leveraging MCP’s tool invocation, the server can be extended to support additional localization actions such as reviewing existing translations or exporting translation files.

Real‑world scenarios where this MCP server shines include:

• Rapid prototype localization – A product manager can ask the AI to “localize this new feature” and immediately see translated strings appear in SimpleLocalize, ready for review by translators.
• Continuous integration pipelines – CI jobs can invoke the MCP server to ensure that every code commit includes up‑to‑date translation keys, preventing missing strings in production.
• Developer onboarding – New team members can use natural language prompts to generate translations without learning the intricacies of SimpleLocalize’s API or UI.

Integration into AI workflows is straightforward: the MCP server exposes a single tool that accepts prompts describing localization tasks. The LLM can then chain this tool with other MCP servers (e.g., code generation or documentation) to build end‑to‑end development pipelines that automatically keep translations in sync with code changes. Because the server operates within the MCP ecosystem, it benefits from existing authentication, logging, and error‑handling mechanisms already in place for other MCP services.

In summary, mcp-simplelocalize turns SimpleLocalize into an AI‑friendly service that automates the tedious parts of localization, reduces human error, and lets developers focus on building features rather than managing translation logistics.