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Version: 3.x.x

Tolgee MCP Server

The Tolgee MCP Server brings the full power of Tolgee into your AI coding assistant, letting you manage translations without ever leaving your editor. Connect Claude Code, Cursor, or any MCP-compatible AI assistant to your Tolgee project and start managing localization tasks conversationally.

What is the Tolgee MCP server?

The Tolgee MCP server is the Model Context Protocol endpoint built into the Tolgee platform. It lets AI assistants (Claude Desktop, Claude Code, Cursor, Windsurf, ChatGPT, and any other MCP-compatible client) manage your Tolgee localization projects through natural language.

It is hosted at https://app.tolgee.io/mcp/developer for Tolgee Cloud and is available on every self-hosted Tolgee instance. No proxy, no separate process. Your AI client talks to Tolgee directly over HTTP.

The server is maintained by the Tolgee team and listed in the MCP Registry as io.github.tolgee/tolgee.

Which MCP clients are supported?

The Tolgee MCP server uses the standard streamable-HTTP MCP transport, so it works with any MCP-compatible client that supports remote HTTP servers and custom request headers. Authentication is always via the X-API-Key header.

Available Roles

The MCP server currently exposes a single role-based endpoint:

RoleEndpointDescription
Developer/mcp/developerFull access to keys, translations, languages, tags, namespaces, branches, and batch operations.

More roles (e.g. translator, project manager) are planned for future releases.

How to Get Started

  1. Follow the setup guide to connect your AI client to Tolgee.
  2. Check the usage guide for example workflows and best practices.

How does the Tolgee MCP server compare to the Tolgee CLI and REST API?

All three talk to the same underlying Tolgee API but target different workflows. The Tolgee MCP server is for natural-language use from inside an AI assistant. The Tolgee CLI is for scripted, repeatable operations such as push and pull in CI pipelines. The Tolgee REST API is for building your own integrations, dashboards, or in-product features. They are complementary, not alternatives, most teams end up using two or three.

Tolgee MCP serverTolgee CLITolgee REST API
Best forConversational use from AI assistantsScripts, CI sync/push/pullBuilding your own apps & integrations
Where you use itClaude, Cursor, ChatGPT, Windsurf…TerminalYour code (any language)
AuthPAK or PAT via X-API-KeyPAK or PATPAK or PAT
DiscoverabilityHigh (AI lists tools and prompts for missing params)Medium (use tolgee --help)Low (read the OpenAPI spec)
DeterminismLower — natural language can be ambiguousHighHigh
Bulk / batch ops

A common end-state of our users:

  • MCP server — day-to-day exploratory work and one-off fixes from inside Claude or Cursor.
  • CLI — committed sync between repo and Tolgee in CI (e.g. tolgee push on merge to main).
  • REST API — in-app translation lookup, custom dashboards, or webhooks.