A Model Context Protocol (MCP) server that automates generating professional LinkedIn post drafts from YouTube videos. This tool streamlines content
A Model Context Protocol (MCP) server that automates generating professional LinkedIn post drafts from YouTube videos. This tool streamlines content repurposing by
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| Tool | What it does |
|---|---|
| Purpose | Complete workflow from YouTube URL to LinkedIn post |
| Parameters: | youtubeUrl: YouTube video URL |
| youtubeApiKey | Your YouTube API key (optional) |
| tone | Desired tone for the post |
| audience | General, technical, business, or academic |
| wordCount | Approximate word count for the summary (100-300) |
| videoTitle | Title of the YouTube video |
| speakerName | Name of the speaker (optional) |
| hashtags | Relevant hashtags (optional) |
| includeCallToAction | Whether to include a call to action |
{
"mcpServers": {
"linkedin-post-generator": {
"command": "npx",
"args": [
"-y",
"@smithery/cli@latest",
"run",
"@NvkAnirudh/linkedin-post-generator",
"--key",
"YOUR_SMITHERY_API_KEY",
"--config",
"{\"OPENAI_API_KEY\":\"YOUR_OPENAI_API_KEY\",\"YOUTUBE_API_KEY\":\"YOUR_YOUTUBE_API_KEY\"}",
"--transport",
"stdio"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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