mcp-content-pipeline

berkayildi/mcp-content-pipeline
★ 0 stars Python 🤖 AI/LLM Updated today
MCP server for YouTube video analysis and X feed digests
View on GitHub →

Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-content-pipeline": {
      "command": "uvx",
      "args": [
        "mcp-content-pipeline"
      ]
    }
  }
}

Or install with pip: pip install mcp-content-pipeline

README Excerpt

A content analysis and digest pipeline for YouTube videos and X (Twitter) feeds, exposed as [MCP](https://modelcontextprotocol.io/) tools. Extract transcripts, fetch posts from curated accounts, and generate key takeaways, TLDRs, social hooks, and comic-book infographics — all callable by any MCP-compatible AI client like Claude Desktop.

Tools (20)

GEMINI_API_KEYMCP_CP_MCP_CP_ANTHROPIC_API_KEYMCP_CP_CLAUDE_MODELMCP_CP_GEMINI_API_KEYMCP_CP_GEMINI_MODELMCP_CP_GITHUB_BRANCHMCP_CP_GITHUB_OUTPUT_DIRMCP_CP_GITHUB_REPOMCP_CP_GITHUB_TOKENMCP_CP_GITHUB_X_OUTPUT_DIRMCP_CP_IMAGE_OUTPUT_DIRMCP_CP_MAX_TRANSCRIPT_TOKENSMCP_CP_SUPADATA_API_KEYMCP_CP_X_ACCOUNTSMCP_CP_X_BEARER_TOKENMCP_CP_X_TOPICSMCP_CP_YOUTUBE_API_KEYX_BEARER_TOKENYOUTUBE_API_KEY

Topics

anthropic-apigoogle-apimcpopenai-apix-apiyoutube-api