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    DeepL MCP

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    Sold by: DeepL 
    Deployed on AWS
    Connect DeepL to your AI agents through the Model Context Protocol - bring professional translation, writing, and your company's terminology into Claude, ChatGPT, Microsoft Copilot, and any MCP-compatible tool.
    4.8

    Overview

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    DeepL MCP gives your AI agents direct access to DeepL's Language AI - translation, writing, and glossary lookups - as native tool calls, with no custom integration required. The Model Context Protocol (MCP) is an open standard that lets AI assistants securely connect to external tools; DeepL's MCP server exposes DeepL's translation and writing capabilities to any MCP-compatible client.

    Available in Claude, ChatGPT, Microsoft Copilot, and any other AI agent that supports MCP. Sign in once with your DeepL account - no API keys needed - and your agent handles the rest. MCP is included with every DeepL plan, from Free through Enterprise, so purchasing a DeepL Team or Business license through this listing gives your organization both the standard DeepL apps and MCP access for your agents.

    Unlike letting a model guess at translation, every DeepL MCP call is a real DeepL request - attributable, consistent, and never a hallucinated answer. Set your glossaries and style rules once in your DeepL account; your agents apply them automatically across every tool, every time.

    Highlights

    • One source of truth, everywhere your agents work. The same DeepL translation, glossaries, and style across Claude, ChatGPT, Copilot, Word, and Outlook - set once, applied everywhere.
    • Enterprise-grade and certified. Your data is never used to train models, and admins control org-wide access. Certified for Microsoft Copilot and Claude; meets ISO 27001, SOC 2 Type II, GDPR, and HIPAA standards.
    • Always know it's DeepL. Every translation is a real DeepL call, not a model guess - attributable, production-grade output your agents can trust at scale.

    Details

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    Pricing

    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (2)

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    Dimension
    Description
    Cost/12 months
    50 Business Licenses
    Team-based translation platform with MCP access for AI agents - shared glossaries, centralized billing, and collaborative translation workflows.
    $34,494.00
    50 Teams Licenses
    Collaborative translation solution for small teams and departments offering shared translation memory, team glossaries, and unified billing to ensure translation consistency and efficiency across team members.
    $17,244.00

    AI Insights

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    Dimensions summary

    You choose between two license bundles, each sold as a set of 50 units. The 50 Business Licenses bundle covers team-based translation with MCP access for AI agents, shared glossaries, and centralized billing. The 50 Teams Licenses bundle covers collaborative translation for small teams and departments, with shared translation memory, team glossaries, and unified billing. Both are seat-based bundles priced per group of 50 users under a contract term. Pick the bundle that matches your team's needs; pricing scales by adding more license units.

    Top-of-mind questions for buyers

    One unit is one seat tied to a user account. Each person who signs in with their account uses one license. Both bundles are sold in sets of 50 units, so you pay for 50 seats and assign them to your team members.
    MCP usage runs through each user's account and counts toward that subscription's usage volumes and fair-usage limits. There is no separate MCP bill; the connector itself is free. Translations made through AI agents are attributed to your seat-based subscription.
    The Business bundle includes shared glossaries and centralized billing for team-based translation with MCP access. The Teams bundle adds shared translation memory and team glossaries for small teams and departments, with unified billing. Both meter usage against seat-based accounts under fair-usage limits.
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    Vendor refund policy

    DeepL does not provide refunds for subscriptions or usage once billing has occurred. Customers are responsible for canceling subscriptions before renewal dates to avoid further charges.

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    Vendor terms and conditions

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

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    Support

    Vendor support

    DeepL offers comprehensive online support via the Help Center, covering accounts, subscriptions, apps, integrations, features, API usage, troubleshooting, and data security. Customers can access detailed guides, FAQs, and documentation, while DeepL Support can be contacted directly for unresolved issues. Visit our Help Center for more information.

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Ratings and reviews

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    4.8
    2 ratings
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    2 external reviews
    External reviews are from G2 .
    Onur O.

    High-Quality, Developer-Friendly Translation API with Powerful Customization

    Reviewed on Apr 15, 2026
    Review provided by G2
    What do you like best about the product?
    As a product designer, I recently needed to localize a complex app interface into German. The AI and intelligence behind DeepL is honestly on another level compared to other translation engines. It doesn’t just translate word for word; it picks up on the natural context and tone, which is crucial for UX/UI copy.

    The API performance is lightning fast. We used their integrations to connect the API directly to our localization files, and it processed thousands of text strings in seconds. On top of that, the UI/UX of their developer dashboard is super clean, so it’s very easy to generate API keys and monitor usage.
    What do you dislike about the product?
    The initial onboarding process for the Pro API tier felt a bit rigid, especially around setting up the billing limits. Also, their customer support is quite slow. If your API key suddenly throws an error, there is no live chat to get immediate help; you have to email the support team and wait for a response, which can block your workflow. Finally, while the initial pricing and ROI is good, if you are continuously translating massive databases, the character limits burn out quickly and it gets expensive fast.
    What problems is the product solving and how is that benefiting you?
    It completely automates the localization bottleneck. Instead of manually copying and pasting text into web translators or waiting weeks for human translation agencies, we just push our English JSON files through the API. We get perfectly natural-sounding German UI text back almost instantly. It saves our design and dev team a ridiculous amount of time.
    Florencia María C.

    Natural and precise translations with DeepL API, quick and easy to integrate

    Reviewed on Feb 17, 2026
    Review provided by G2
    What do you like best about the product?
    What I like most about DeepL API is the high quality of its translations, as it offers very natural and precise results, especially in technical and professional texts. Additionally, its ease of integration, good documentation, and quick response time make it a very efficient tool for developers who need reliable translations in their applications.
    What do you dislike about the product?
    What I don't like about the DeepL API is that it has a high cost compared to other translation APIs, especially when handling large volumes of text. Additionally, the number of supported languages is more limited, which can be a disadvantage for projects that require translations into less common languages.
    What problems is the product solving and how is that benefiting you?
    DeepL API solves the problem of inaccurate machine translation, especially in technical, professional texts or those with complex natural language. Thanks to its artificial intelligence technology, it offers clearer, more coherent translations that are faithful to the original context.

    This benefits me because it saves time and effort, reduces the need for manual corrections, and allows high-quality translations to be integrated directly into applications, websites, or internal systems, improving multilingual communication quickly and reliably.
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