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Azure AI Translator MCP Server

An MCP Server for Microsoft Azure AI Translator that allows MCP-based agents to perform instant or batch text translation across 100+ languages.

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About this tool

Azure AI Translator MCP Server

Category: AI Integration – MCP Servers
Brand: Microsoft Azure
Source: https://mcp.pipedream.com/app/microsoft_azure_ai_translator

Overview

Azure AI Translator MCP Server is an MCP-compatible integration for Microsoft Azure AI Translator. It enables MCP-based agents and applications to perform instant or batch text translation across more than 100 languages, leveraging Azure’s machine translation capabilities.

Features

  • MCP-compatible server: Exposes Azure AI Translator capabilities through the Model Context Protocol (MCP) for use in MCP-based agents and chat clients.
  • Instant text translation: Translate text in real time across 100+ languages.
  • Batch translation: Submit multiple texts or larger workloads for batch translation.
  • 100+ language support: Access a broad language set powered by Azure AI Translator.
  • Static server URL: Use a single, static MCP endpoint that works for all supported clients:
    • MCP server URL: https://mcp.pipedream.net/v2
  • Client-agnostic setup: Works with any compatible MCP client; you authenticate when adding the server to your application.
  • Configuration docs: A dedicated configuration page provides setup instructions for different chat clients (linked from the app page).

Integration & Usage

  • Add the MCP server URL https://mcp.pipedream.net/v2 to your MCP-enabled app or chat client.
  • Authenticate within your client when prompted during server setup.
  • Use available MCP tools/endpoints (as exposed by your client) to perform single or batch translations.

Pricing

Pricing details are not provided in the available content. Consult the source page or Azure / Pipedream documentation for current pricing information.

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Information

Websitemcp.pipedream.com
PublishedDec 31, 2025

Categories

1 Item
Ai Integration Mcp Servers

Tags

3 Items
#translation
#azure
#nlp

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