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DeepL MCP server for AI agents.

actionlake is an MCP gateway: one remote MCP server that connects Claude and other MCP clients to DeepL and the rest of your systems. It gives your agent 63 DeepL actions (28 reads, 25 writes and 10 that wait for a confirmation) and holds the DeepL credential itself, so the agent never does. It paces DeepL's limits and records every call.

100,000 free calls a month. No card, no email, no password: press Start a free sandbox on the next screen and keep the key it shows you.

claude mcp add --transport http actionlake https://connect.actionlake.com/mcp
the first call
do {  action: "deepl.admin_developer_keys.list",  intent: "check which DeepL account is connected"}# Get all developer keys as an admin · read · 1 upstream call
  • 63actionsin one signed file
  • 28readlook, never change
  • 25writecreate and update
  • 10wait for a yesdestructive, confirmed first

Set up

Connect DeepL in three steps.

  1. 01

    Add actionlake to Claude.

    Run the command once in Claude Code; its consent page can create a free sandbox: 100,000 calls a month, no card. In the Claude app, add a custom connector with the URL below and paste your key on the consent page. Creating a new sandbox from the Claude app is not yet tested by us.

    https://connect.actionlake.com/mcp
  2. 02

    Connect DeepL.

    API key. No consent screen: your agent can connect it for you, but the key then passes through your chat. To keep it out of the model's context, paste it in the console instead. actionlake stores what you paste write-only, sealed under your tenant's key.

    • auth_keyDeepL authentication key (Account > API Keys)
    • planYour DeepL plan
    account { op: "connections.requirements", service: "deepl" }
    # free: exactly what to paste, and what is found for you
  3. 03

    Make the first call. Check before a write.

    Ask in plain words; Claude picks the action. Before anything changes, check validates the call and prices it, for free.

    do    { action: "deepl.admin_developer_keys.list" }# get all developer keys as an admin · read · 1 upstream callcheck { action: "deepl.text.translate", input: { … } }# free: inputs, permissions, cost and confirmations, nothing sent

DeepL at a glance

Sign-in
API key. No consent screen: your agent can connect it for you, but the key then passes through your chat. To keep it out of the model's context, paste it in the console instead.
You provide
auth_key
Setup fields
plan
Limits we pace to
50 calls a second, per connection
API covered
DeepL API OpenAPI 3.14.0, at your region's deepl.com address, set when you connect
Built from
DeepL's documentation, read 22 October 2026OpenAPI spec (GitHub)developers.deepl.com
Service file
Version 1.0.0, signed (Ed25519)
Cached reads
24 of 28 reads, for up to 5 minutes; a write clears what it affects
Shared entities
2, so ask can line DeepL up with your other systems
Data
Processed and stored in Sydney, Australia. No US region yet

Capabilities

What an AI agent can do in DeepL.

63 actions in 1 area. Every one carries its effect, so a key can allow the reads and hold the rest.

  • 28readlook, never change
  • 25writecreate and update
  • 10destructivewait for a confirmation
  1. Translation

    63

    28 read · 25 write · 10 destructive

    Retrieve Languages · Get all developer keys as an admin · List all Glossaries · Request Translation

Top actions

The DeepL API, shaped for agents.

The ids your agent types, what each does, and the one name it shares with other systems. 2 of DeepL's 2 action names are shared with at least one other connector, so an agent learns them once.

ActionWhat it doesEffectSame name in
deepl.languages.listRetrieve LanguagesRetrieve Languagesreadreference.language.list8 connectors
deepl.glossaries.listList all GlossariesList all Glossariesreadthis connector
deepl.admin_developer_keys.listGet all developer keys as an adminGet all developer keys as an adminreadthis connector
deepl.text.translateRequest TranslationRequest Translationwriteplatform.translation.create7 connectors
deepl.style_rules.listRetrieve style rule listsRetrieve style rule listsreadthis connector
deepl.glossaries.createCreate a GlossaryCreate a Glossarywritethis connector
deepl.languages_v2.listRetrieve Supported LanguagesRetrieve Supported Languagesreadthis connector
deepl.spoken_terms.listList all Spoken Terms collectionsList all Spoken Terms collectionsreadthis connector
deepl.glossaries_v2.listList all GlossariesList all Glossariesreadthis connector
deepl.style_rules.createCreate a style rule listCreate a style rule listwritethis connector
deepl.spoken_terms.createCreate Spoken Terms collectionCreate Spoken Terms collectionwritethis connector
deepl.glossaries.deleteDelete a GlossaryDelete a Glossarydestructivethis connector

Try it

Prompts to paste into Claude.

Each one names the DeepL actions it will call, so you know what it reads and what it changes before you send it.

  1. Readread

    Get all developer keys as an admin in DeepL and tell me what stands out.

    callsdeepl.admin_developer_keys.list

  2. Writewrite

    Request Translation in DeepL. Show me exactly what you will send before you save it.

    callsdeepl.text.translate

Governance for DeepL

Destructive actions wait for a yes.

10 DeepL actions are destructive. These are all of them:

  • Delete a Glossarydeepl.glossaries.delete
  • Delete a style rule listdeepl.style_rules.delete
  • Delete Spoken Terms collectiondeepl.spoken_terms.delete
  • Delete a Glossarydeepl.glossaries_v2.delete
  • Delete a style profiledeepl.style_profiles.delete
  • Delete a term listdeepl.spoken_term_lists.delete
  • Delete a translation memorydeepl.translation_memories.delete
  • Deletes the dictionary associated with the given language pair with the given glossary ID.deepl.glossary_dictionaries.delete
  • Delete a custom instructiondeepl.style_rule_custom_instructions.delete
  • Deactivate a developer key as an admindeepl.admin_developer_keys.deactivate

A destructive action runs only with confirm: true. Under the human policy the agent cannot confirm for itself: the run stops until a named person approves, in the console or from a signed link in an email. The cap on a key is refused before the call is sent, never after.

dodeepl.glossaries.deleteconfirm_policy: human

Delete a Glossary?

intent: the user asked me to delete a Glossary

run suspended · waiting for a named person · key deepl-agent cannot confirm itself
In the console, or from an emailed signed link.
a key for this connector
account {  op: "keys.create", name: "deepl-agent",  allowed_actions: ["deepl.*"], cap_calls: 2000,  confirm_policy: "human_for_writes",  approval_rules: [    { match: "deepl.glossaries.delete", approver: "[email protected]" },    { match: "deepl.style_rules.delete", approver: "[email protected]" },    { match: "deepl.spoken_terms.delete", approver: "[email protected]" }  ]}
Illustrative. Scoped to DeepL only, capped at 2,000 upstream calls, every write confirmed, and the destructive ones approved by a named person.

Cost

What DeepL costs on actionlake.

Every DeepL action is one upstream call, the only thing actionlake bills. Searching, check, cost, account and any call DeepL refused with 401, 403, 429 or a 5xx are free. Paid plans start at US$49 a month for 250,000 calls, with overage from US$0.30 down to US$0.18 per 1,000.

  • 1upstream call per actionall 63 DeepL actions
  • 12actions pageeach page of a long list is one call
  • 24reads can be cacheda cache hit costs nothing
  • 100,000calls a month, freepaid plans from US$49 a month for 250,000

See pricing

Action index

Every DeepL action.

63 actions by area: the id your agent calls, what it does, and its effect.

Translation63
  • deepl.admin_analytics.getGet usage statistics as an adminread
  • deepl.admin_analytics.get_custom_tagsGet custom tag usage statistics as an adminread
  • deepl.admin_developer_keys.createCreate a developer key as an adminwrite
  • deepl.admin_developer_keys.deactivateDeactivate a developer key as an admindestructive
  • deepl.admin_developer_keys.listGet all developer keys as an adminread
  • deepl.admin_developer_keys.renameRename a developer key as an adminwrite
  • deepl.admin_developer_keys.set_usage_limitsSet developer key usage limits as an adminwrite
  • deepl.documents.get_statusCheck Document Statusread
  • deepl.glossaries.createCreate a Glossarywrite
  • deepl.glossaries.deleteDelete a Glossarydestructive
  • deepl.glossaries.getRetrieve Glossary Detailsread
  • deepl.glossaries.get_entriesRetrieve Glossary Entriesread
  • deepl.glossaries.listList all Glossariesread
  • deepl.glossaries.updateEdit glossary detailswrite
  • deepl.glossaries_v2.createCreate a Glossarywrite
  • deepl.glossaries_v2.deleteDelete a Glossarydestructive
  • deepl.glossaries_v2.getRetrieve Glossary Detailsread
  • deepl.glossaries_v2.listList all Glossariesread
  • deepl.glossary_dictionaries.deleteDeletes the dictionary associated with the given language pair with the given glossary ID.destructive
  • deepl.glossary_dictionaries.replaceReplaces or creates a dictionary in the glossary with the specified entries.write
  • deepl.glossary_language_pairs.listList Language Pairs Supported by Glossariesread
  • deepl.language_resources.listRetrieve Language Resourcesread
  • deepl.languages.listRetrieve Languagesread
  • deepl.languages_v2.listRetrieve Supported Languagesread
  • deepl.quality_evaluations.getPoll for the evaluation resultread
  • deepl.spoken_term_lists.deleteDelete a term listdestructive
  • deepl.spoken_term_lists.replaceReplace or create a term listwrite
  • deepl.spoken_terms.createCreate Spoken Terms collectionwrite
  • deepl.spoken_terms.deleteDelete Spoken Terms collectiondestructive
  • deepl.spoken_terms.getRetrieve Spoken Terms collection detailsread
  • deepl.spoken_terms.get_entriesRetrieve Spoken Terms entriesread
  • deepl.spoken_terms.listList all Spoken Terms collectionsread
  • deepl.spoken_terms.updateEdit Spoken Terms collection detailswrite
  • deepl.style_profiles.createCreate a style profilewrite
  • deepl.style_profiles.deleteDelete a style profiledestructive
  • deepl.style_profiles.getRetrieve a style profileread
  • deepl.style_profiles.listList style profilesread
  • deepl.style_profiles.updateUpdate a style profilewrite
  • deepl.style_rule_custom_instructions.createCreate a custom instructionwrite
  • deepl.style_rule_custom_instructions.deleteDelete a custom instructiondestructive
  • deepl.style_rule_custom_instructions.getGet a custom instructionread
  • deepl.style_rule_custom_instructions.updateReplace a custom instructionwrite
  • deepl.style_rules.createCreate a style rule listwrite
  • deepl.style_rules.deleteDelete a style rule listdestructive
  • deepl.style_rules.getGet a style rule listread
  • deepl.style_rules.listRetrieve style rule listsread
  • deepl.style_rules.updateUpdate a style rule list's namewrite
  • deepl.style_rules.update_configured_rulesReplace configured rules for a style rule listwrite
  • deepl.text.translateRequest Translationwrite
  • deepl.translation_memories.deleteDelete a translation memorydestructive
  • deepl.translation_memories.exportExport a translation memorywrite
  • deepl.translation_memories.getRetrieve a translation memoryread
  • deepl.translation_memories.importImport a translation memorywrite
  • deepl.translation_memories.listList translation memoriesread
  • deepl.translation_memories.list_segmentsList translation memory segmentsread
  • deepl.translation_memory_jobs.getRetrieve an import or export jobread
  • deepl.usage.getCheck Usage and Limitsread
  • deepl.voice_sessions.createGet Streaming URLwrite
  • deepl.voice_sessions.reconnectRequest Reconnectionwrite
  • deepl.voice_translate_jobs.createCreate a voice translation jobwrite
  • deepl.voice_translate_jobs.getGet voice translation job statusread
  • deepl.write.correctCorrect textwrite
  • deepl.write.rephraseImprove textwrite

Questions

The DeepL MCP server, answered.

Is there a DeepL MCP server for Claude?

Yes. actionlake is an MCP gateway: a remote MCP server that gives Claude, or another MCP client, 63 DeepL actions, through the same eight tools it uses for every other connector. actionlake is independent; it is not made or endorsed by DeepL.

What do I need to connect DeepL?

DeepL authentication key (Account > API Keys). Plus your plan. The free call account { op: "connections.requirements", service: "deepl" } lists exactly what to paste.

Can an AI agent delete or change things in DeepL?

Only if its key allows it, and only with an explicit confirmation. 10 DeepL actions are destructive, including delete a Glossary, delete a style rule list and delete Spoken Terms collection. Each runs only with confirm: true. Under the human confirm policy, or an approval rule on the key, the run waits until a named person approves it.

Will an AI agent use up my DeepL API limit?

actionlake paces every call to the limits in the DeepL service file: 50 calls a second per connection. Repeated reads are answered from cache (24 DeepL actions can be), which never reaches DeepL.

What does a DeepL action cost?

One upstream call, the only unit actionlake bills. A list that pages bills one call per page (12 DeepL actions page). Cache hits, searches, dry runs and calls DeepL refused with 401, 403, 429 or a 5xx are free. The Free plan includes 100,000 calls a month with no card. Paid plans start at US$49 a month for 250,000 calls, with overage from US$0.30 down to US$0.18 per 1,000.

Which DeepL API does it cover?

The DeepL API OpenAPI 3.14.0 at your region's deepl.com address, set when you connect. It is built from DeepL's documentation as read on 22 October 2026. 63 actions in 1 area, each one in the signed service file (version 1.0.0).

Does actionlake keep my DeepL data, and where?

actionlake processes and stores data in Sydney, Australia; there is no US region yet. Reads may be cached for up to 5 minutes, and a write clears the reads it affects. Each run's request and response is kept, sealed, for your plan's trace window: 1 day on Free, 3 days on Starter, 7 days on Pro, 14 days on Team, 30 days on Business and 30 days on Enterprise. Your DeepL credential is sealed under your tenant's key, never logged and never returned. Your traffic is not used to train models.

Which AI clients can use it?

Claude Code, tested by us end to end, and the Claude app as a custom connector, tested by us with an existing key. Other MCP clients that support remote servers over Streamable HTTP (MCP revisions 2025-06-18 and 2025-11-25) and OAuth dynamic client registration, or a bearer header, should connect the same way; we have not tested them. Or plain REST, under the same action names.

Give your agent DeepL today.

Start free - 100,000 calls/month, no card. No signup. Hard caps on every key. Cached answers are free.