About Translate
Translate is an MCP service for clients and agents that need multilingual text operations through a LibreTranslate-compatible instance. It translates text, detects languages, and lists supported languages; users must provide an API key or instance endpoint.
Key features
- 01Translate text between languages
- 02Detect text language and confidence
- 03List instance-supported languages
Use cases
- 01Translate text between languages
- 02Identify the language of input text
MCP support
It exposes translation, language detection, and language-listing tools to MCP clients. It can connect through the Pipeworx gateway or run as a local stdio MCP server.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://gateway.pipeworx.io/translate/mcpclaude mcp add --transport http pipeworx-io-translate https://gateway.pipeworx.io/translate/mcp{"mcpServers":{"pipeworx-io-translate":{"type":"http","url":"https://gateway.pipeworx.io/translate/mcp"}}}Open in Cursor{"servers":{"pipeworx-io-translate":{"type":"http","url":"https://gateway.pipeworx.io/translate/mcp"}}}Open in VS Code{"mcpServers":{"pipeworx-io-translate":{"type":"http","url":"https://gateway.pipeworx.io/translate/mcp"}}}{"mcpServers":{"pipeworx-io-translate":{"serverUrl":"https://gateway.pipeworx.io/translate/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMETranslate — LibreTranslate-compatible machine translation
Translate text, detect a language, or list supported languages against any LibreTranslate-compatible instance.
Part of Pipeworx — an MCP gateway connecting AI agents to 1684+ live data sources.
You need to bring an instance or a key. For translation that works with no key of your own, use deepl — deepl_translate covers the same languages and Pipeworx fronts the key.
Tools
| Tool | What it does |
|---|---|
translate | Translate text between two languages |
detect_language | Detect the language of a string, with confidence |
list_languages | Language codes the configured instance supports |
Auth
Bring your own, one of:
_apiKey— an API key from https://portal.libretranslate.com (libretranslate.com is now key-only)_endpoint— the base URL of a self-hosted instance (https://github.com/LibreTranslate/LibreTranslate)
Given neither, every tool returns {found: false, reason: "requires_key_or_endpoint"} with a pointer to deepl_translate. It does not attempt the call.
Why it is gated
This pack used to hardcode libretranslate.com and call it with no key. That endpoint moved behind an API key, so every call returned the upstream's raw 400 — "Visit portal.libretranslate.com to get an API key" — which reads to a caller as Pipeworx being broken rather than as a source needing a key.
The obvious fallback was a free public mirror. There aren't any left. Checked 2026-08-06:
| Instance | Result |
|---|---|
translate.argosopentech.com | does not resolve |
libretranslate.com | 400, key required |
translate.terraprint.co | 502 |
lt.vern.cc | 502 |
translate.fedilab.app | 403 |
libretranslate.eownerdead.dedyn.io | 403 |
trans.zillyhuhn.com | 403 |
So the pack is honestly BYO rather than quietly broken. It is registered in the gateway's BYO_ONLY_KEY_PACKS, which sinks it below deepl_translate in routing and labels it, so an agent asking to translate something reaches the tool that can answer.
Data source
LibreTranslate API v1 — https://github.com/LibreTranslate/LibreTranslate#api
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"translate": {
"url": "https://gateway.pipeworx.io/translate/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/translate/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1684+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
This pack takes your own API key (_apiKey) — we don't front one for it, so there's no curl here that would run without it. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/translate_translate. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"translate": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-translate"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-translate
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Translate data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.