SimpleLocalize MCP Server
OfficialRelated Servers
Alternatives to SimpleLocalize MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceAn MCP server that wraps the Tolgee localization platform API, enabling LLMs to manage translation projects, keys, translations, languages, and related workflows.27MIT
- AlicenseNot gradedqualityAmaintenanceProvides internationalization MCP tools enabling AI agents to perform translations, locale management, and i18n operations.69 npmMIT
- AlicenseAqualityDmaintenanceEnables interaction with POEditor's translation management API to create terms, add translations, and manage multilingual content. Supports operations like adding translations, updating existing ones, and listing terms and languages for translation projects.1118 npm3MIT
- AlicenseAqualityDmaintenanceAn MCP server that provides LLM agents with full access to the Texterify translation management API. It enables users to search, create, update, and delete translation keys and their values directly through natural language within their development environment.42 npm1ISC
- AlicenseNot gradedqualityDmaintenanceAI-powered translation management built for AI agents. Automate localization with regional sensitivity and zero TMS overhead. Works with Claude Code, Cursor, VS Code via MCP protocol. Supports JSON, YAML, Markdown, PO and more.10 npmMIT
- AlicenseCqualityDmaintenanceEnables AI assistants to manage i18next translation files, including adding keys, syncing missing translations, and analyzing coverage.1420 npm12MIT
TDQS
Scored across 47 tools
Several tools retrieve translation keys with overlapping purposes (get_all_translation_keys, get_all_translation_keys_v2, get_translation_keys, get_translation_key_details), and update_translation_key vs update_translation_key_by_id requires knowing whether to use key or ID. The screenshot-upload trio and auto-translation variants add further boundary confusion, though descriptions do clarify some distinctions.
Most tools follow the verb_noun snake_case pattern (create_language, delete_tag, get_customers), making the set generally predictable. The main inconsistencies are the v2 suffix and the proliferation of similarly named key/list/detail verbs, but the overall convention remains readable.
47 tools is heavy for a single MCP server, even for a broad localization platform. Many could be consolidated (key retrieval variants, screenshot uploads, auto-translation job endpoints), so the count feels inflated rather than earned.
The tool surface covers the core localization lifecycle: keys, translations, languages, tags, environments, customers, glossary, auto-translation, import/export, and activity. Minor gaps exist—no environment update/delete, no explicit glossary update, no translation deletion separate from keys—but agents can work around most of these.