A [Model Context Protocol (MCP)](https://github.com/anthropics/anthropic-cookbook/tree/main/model_composition_protocol) server for accessing the
Youtube translate mcp mcp server lets Claude, Cursor and other MCP clients work with Youtube Translate MCP directly. A Model Context Protocol (MCP) server for accessing the YouTube Translate API, allowing you to obtain transcripts, translations, and summaries of YouTube videos.
A Model Context Protocol (MCP) server for accessing the YouTube Translate API, allowing you to obtain transcripts, translations, and summaries of YouTube videos.
Once connected, the assistant can call these 3 tools directly:
Prerequisites — The Prerequisites tool exposed by this serverSetup — The Setup tool exposed by this serverDebugging — The Debugging tool exposed by this serverThe server is distributed via npm as @smithery/cli, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply 2 environment variables: YOUTUBE_TRANSLATE_API_KEY, YOUR_API_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.
AI-service servers chain other models into your assistant, turning a single chat into a small production pipeline. Youtube Translate MCP sits in that group, and the shape of its toolset — Prerequisites, Setup, Debugging — tells you what it is really for. Worth comparing against the other ai services servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Setup | The Setup tool exposed by this server. |
| Debugging | The Debugging tool exposed by this server. |
{
"mcpServers": {
"youtube-translate": {
"command": "npx",
"args": ["-y", "@smithery/cli"],
"env": {
"YOUTUBE_TRANSLATE_API_KEY": "your-value",
"YOUR_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| YOUTUBE_TRANSLATE_API_KEY | Credential the server authenticates with. | Yes |
| YOUR_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.