MCP

Language Weaver exposes an MCP server for integrating AI assistants and other MCP-enabled clients with translation workflows.

The server uses Model Context Protocol over Streamable HTTP and exposes tools for:

  • text translation
  • file translation
  • translation status and results
  • account language pairs
  • document types
  • language codes

Tool summary

Tool Purpose
lw_translate_text Submit text for translation and return a requestId
lw_translate_file Submit Base64 file content for translation and return a requestId
lw_get_translation_status Check the status of a translation
lw_get_translation_result Fetch the completed translation result
lw_cancel_translation Cancel an in-progress translation
lw_get_account_language_pairs List the active language pairs available to the caller
lw_get_document_types List supported input and output document types
lw_get_language_codes List the Language Weaver language code table

Getting started

  1. Choose your client.
  2. Configure the MCP endpoint — either install the extension for a guided, one-click setup in Claude Desktop, or configure mcp-remote manually.
  3. Provide the required authentication headers or login flow.
  4. Verify the connection and run a test tool call.