MCP server
Deepl
io.github.pipeworx-io/deepl
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
DeepL MCP.
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 26,755 tokens per request once connected47 tools
https://gateway.pipeworx.io/deepl/mcp
At a glance
- Type
- MCP server
- Publisher
- pipeworx.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 47
- Token cost
- About 26,755 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http deepl https://gateway.pipeworx.io/deepl/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.deepl] url = "https://gateway.pipeworx.io/deepl/mcp"
Gemini CLI
{"mcpServers":{"deepl":{"httpUrl":"https://gateway.pipeworx.io/deepl/mcp"}}}
Cursor
{"mcpServers":{"deepl":{"url":"https://gateway.pipeworx.io/deepl/mcp"}}}
VS Code
{"servers":{"deepl":{"type":"http","url":"https://gateway.pipeworx.io/deepl/mcp"}}}
Antigravity
agy mcp add deepl https://gateway.pipeworx.io/deepl/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"deepl","server_url":"https://gateway.pipeworx.io/deepl/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"deepl","server_url":"https://gateway.pipeworx.io/deepl/mcp"}
Tools
glossary_language_pairs~43 tokens
Supported glossary language pairs.source_languages~39 tokens
Supported source languages.target_languages~39 tokens
Supported target languages.translate~294 tokens
Translate one or more text strings using DeepL. Requires `text` (string or array) and `target_lang` (e.g. "DE", "FR", "JA"). Optionally specify `source_lang`, `formality` (more/less/prefer_more/prefer_less), `tag_handling` (html/xml), and `glossary_id`. Returns detected source language and translateusage~37 tokens
Current month's usage + limits.
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