[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Smartling Launches MCP Server — Redefining How Enterprises Automate and Scale Localization

SmartlingLogo

Now, teams can access Smartling’s industry-leading translation capabilities directly within any MCP-compatible AI platform without leaving their existing workflows.

Smartling, the LanguageAI™ translation company, announced the launch of its Model Context Protocol (MCP) server; enabling software engineers, product managers, and content teams to access Smartling’s industry-leading translation capabilities directly within any MCP-compatible AI platform—such as Claude Code, Visual Studio Code, and Cursor—without leaving their existing workflows.

The MCP standard, developed by Anthropic, provides a universal way for AI assistants to connect securely with external systems. Smartling’s MCP server acts as a bridge between AI tools and Smartling’s translation platform, delivering high-quality, on-brand translations that leverage customers’ translation memories, glossaries, and style guides. The result is faster, more accurate translations without the friction of switching applications or managing extra logins.

Also Read: AiThority Interview with Tom Findling, CEO of Conifers.ai

Related Posts
1 of 42,019

With initial support for both text and file translation, the Smartling MCP server uses Smartling’s MT API to route requests through a customer’s preferred neural machine translation (NMT) engine or large language model (LLM). The MCP server can also be embedded in agentic workflows to enable AI agents to translate content. By enhancing translations with assets like your Smartling glossary, it ensures brand consistency and higher-quality output than generic LLM translations.

“Our MCP server is another step toward enabling our customers to integrate AI Translation within their business,” said Bryan Murphy, CEO of Smartling. “AI is transforming the way teams build and ship products, but translation still needs context, quality controls, and brand alignment. With the Smartling MCP server, your translation AI becomes a native part of your existing tech stack. No more one-off integrations, no more copy-paste. Every content system, every channel, every market—connected automatically, managed centrally, delivered faster.”

Also Read: The Future of Decision Intelligence: Combining GenAI and Agentic AI

The MCP server is part of Smartling’s broader push to power the future of localization, building on its award-winning AI Translation capabilities that combine the best of LLMs, NMT, and human expertise. Now, customers can unlock Smartling’s quality, scalability, and ease of use without disrupting their existing AI-driven workflows.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

Comments are closed.