Connectors · Marketing & media
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/mcpdo { 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.
- 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 - 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 - 03
Make the first call. Check before a write.
Ask in plain words; Claude picks the action. Before anything changes,
checkvalidates 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
Translation
6328 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.
| Action | What it does | Effect | Same name in |
|---|---|---|---|
deepl.languages.listRetrieve Languages | Retrieve Languages | read | reference.language.list8 connectors |
deepl.glossaries.listList all Glossaries | List all Glossaries | read | this connector |
deepl.admin_developer_keys.listGet all developer keys as an admin | Get all developer keys as an admin | read | this connector |
deepl.text.translateRequest Translation | Request Translation | write | platform.translation.create7 connectors |
deepl.style_rules.listRetrieve style rule lists | Retrieve style rule lists | read | this connector |
deepl.glossaries.createCreate a Glossary | Create a Glossary | write | this connector |
deepl.languages_v2.listRetrieve Supported Languages | Retrieve Supported Languages | read | this connector |
deepl.spoken_terms.listList all Spoken Terms collections | List all Spoken Terms collections | read | this connector |
deepl.glossaries_v2.listList all Glossaries | List all Glossaries | read | this connector |
deepl.style_rules.createCreate a style rule list | Create a style rule list | write | this connector |
deepl.spoken_terms.createCreate Spoken Terms collection | Create Spoken Terms collection | write | this connector |
deepl.glossaries.deleteDelete a Glossary | Delete a Glossary | destructive | this 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.
- Readread
Get all developer keys as an admin in DeepL and tell me what stands out.
calls
deepl.admin_developer_keys.list - Writewrite
Request Translation in DeepL. Show me exactly what you will send before you save it.
calls
deepl.text.translate
Governance for DeepL
Destructive actions wait for a yes.
10 DeepL actions are destructive. These are all of them:
- Delete a Glossary
deepl.glossaries.delete - Delete a style rule list
deepl.style_rules.delete - Delete Spoken Terms collection
deepl.spoken_terms.delete - Delete a Glossary
deepl.glossaries_v2.delete - Delete a style profile
deepl.style_profiles.delete - Delete a term list
deepl.spoken_term_lists.delete - Delete a translation memory
deepl.translation_memories.delete - Deletes the dictionary associated with the given language pair with the given glossary ID.
deepl.glossary_dictionaries.delete - Delete a custom instruction
deepl.style_rule_custom_instructions.delete - Deactivate a developer key as an admin
deepl.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.
Delete a Glossary?
intent: the user asked me to delete a Glossary
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]" } ]}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
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 adminreaddeepl.admin_analytics.get_custom_tagsGet custom tag usage statistics as an adminreaddeepl.admin_developer_keys.createCreate a developer key as an adminwritedeepl.admin_developer_keys.deactivateDeactivate a developer key as an admindestructivedeepl.admin_developer_keys.listGet all developer keys as an adminreaddeepl.admin_developer_keys.renameRename a developer key as an adminwritedeepl.admin_developer_keys.set_usage_limitsSet developer key usage limits as an adminwritedeepl.documents.get_statusCheck Document Statusreaddeepl.glossaries.createCreate a Glossarywritedeepl.glossaries.deleteDelete a Glossarydestructivedeepl.glossaries.getRetrieve Glossary Detailsreaddeepl.glossaries.get_entriesRetrieve Glossary Entriesreaddeepl.glossaries.listList all Glossariesreaddeepl.glossaries.updateEdit glossary detailswritedeepl.glossaries_v2.createCreate a Glossarywritedeepl.glossaries_v2.deleteDelete a Glossarydestructivedeepl.glossaries_v2.getRetrieve Glossary Detailsreaddeepl.glossaries_v2.listList all Glossariesreaddeepl.glossary_dictionaries.deleteDeletes the dictionary associated with the given language pair with the given glossary ID.destructivedeepl.glossary_dictionaries.replaceReplaces or creates a dictionary in the glossary with the specified entries.writedeepl.glossary_language_pairs.listList Language Pairs Supported by Glossariesreaddeepl.language_resources.listRetrieve Language Resourcesreaddeepl.languages.listRetrieve Languagesreaddeepl.languages_v2.listRetrieve Supported Languagesreaddeepl.quality_evaluations.getPoll for the evaluation resultreaddeepl.spoken_term_lists.deleteDelete a term listdestructivedeepl.spoken_term_lists.replaceReplace or create a term listwritedeepl.spoken_terms.createCreate Spoken Terms collectionwritedeepl.spoken_terms.deleteDelete Spoken Terms collectiondestructivedeepl.spoken_terms.getRetrieve Spoken Terms collection detailsreaddeepl.spoken_terms.get_entriesRetrieve Spoken Terms entriesreaddeepl.spoken_terms.listList all Spoken Terms collectionsreaddeepl.spoken_terms.updateEdit Spoken Terms collection detailswritedeepl.style_profiles.createCreate a style profilewritedeepl.style_profiles.deleteDelete a style profiledestructivedeepl.style_profiles.getRetrieve a style profilereaddeepl.style_profiles.listList style profilesreaddeepl.style_profiles.updateUpdate a style profilewritedeepl.style_rule_custom_instructions.createCreate a custom instructionwritedeepl.style_rule_custom_instructions.deleteDelete a custom instructiondestructivedeepl.style_rule_custom_instructions.getGet a custom instructionreaddeepl.style_rule_custom_instructions.updateReplace a custom instructionwritedeepl.style_rules.createCreate a style rule listwritedeepl.style_rules.deleteDelete a style rule listdestructivedeepl.style_rules.getGet a style rule listreaddeepl.style_rules.listRetrieve style rule listsreaddeepl.style_rules.updateUpdate a style rule list's namewritedeepl.style_rules.update_configured_rulesReplace configured rules for a style rule listwritedeepl.text.translateRequest Translationwritedeepl.translation_memories.deleteDelete a translation memorydestructivedeepl.translation_memories.exportExport a translation memorywritedeepl.translation_memories.getRetrieve a translation memoryreaddeepl.translation_memories.importImport a translation memorywritedeepl.translation_memories.listList translation memoriesreaddeepl.translation_memories.list_segmentsList translation memory segmentsreaddeepl.translation_memory_jobs.getRetrieve an import or export jobreaddeepl.usage.getCheck Usage and Limitsreaddeepl.voice_sessions.createGet Streaming URLwritedeepl.voice_sessions.reconnectRequest Reconnectionwritedeepl.voice_translate_jobs.createCreate a voice translation jobwritedeepl.voice_translate_jobs.getGet voice translation job statusreaddeepl.write.correctCorrect textwritedeepl.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.