A server built on the Model Context Protocol (MCP) that enables direct downloading of YouTube video transcripts, supporting AI and video analysis
MCP Youtube Transcript becomes available to MCP clients through the mcp youtube transcript mcp server. A server built on the Model Context Protocol (MCP) that enables direct downloading of YouTube video transcripts, supporting AI and video analysis workflows.
A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video transcripts through a simple interface, making it ideal for content analysis and processing.
Once connected, the assistant can call these 4 tools directly:
Prerequisites — The Prerequisites tool exposed by this serverInstallation — The Installation tool exposed by this serverTesting — The Testing tool exposed by this serverget_transcripts — The get_transcripts 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.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. MCP Youtube Transcript sits in that group, and the shape of its toolset — Prerequisites, Installation, Testing among others — tells you what it is really for. Worth comparing against the other developer tools 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. |
| Installation | The Installation tool exposed by this server. |
| Testing | The Testing tool exposed by this server. |
| get_transcripts | The get_transcripts tool exposed by this server. |
{
"mcpServers": {
"youtube-transcript": {
"command": "npx",
"args": [
"-y",
"@sinco-lab/mcp-youtube-transcript"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.