mcp-content-pipeline 0.8.1

YouTube video analysis and X feed digest pipeline exposed as MCP tools

mcp-content-pipeline

A YouTube video analysis and X feed digest pipeline exposed as MCP tools. Extract transcripts, generate key takeaways, TLDRs, and Twitter/X hook drafts — plus daily X feed digests from curated accounts — all callable by any MCP-compatible AI client like Claude Desktop.

Why?

Manually copying YouTube transcripts into AI tools, crafting prompts, and formatting output is tedious and error-prone. This MCP server turns the entire workflow into chainable tools that any AI agent can call. List videos from a channel, analyse them in batch, and sync the results to GitHub — all in a single conversation.

Quick Start

uvx mcp-content-pipeline

Or install explicitly:

uv tool install mcp-content-pipeline
mcp-content-pipeline

Claude Desktop Configuration

Add to your Claude Desktop MCP config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "content-pipeline": {
      "command": "/usr/local/bin/uvx",
      "args": ["mcp-content-pipeline"],
      "env": {
        "MCP_CP_ANTHROPIC_API_KEY": "sk-ant-...",
        "MCP_CP_GITHUB_TOKEN": "ghp_...",
        "MCP_CP_GITHUB_REPO": "your-username/your-repo",
        "MCP_CP_GEMINI_API_KEY": "your-gemini-api-key",
        "MCP_CP_X_BEARER_TOKEN": "your-x-bearer-token",
        "MCP_CP_X_ACCOUNTS": "username1,username2,username3",
        "MCP_CP_X_TOPICS": "topic1,topic2,topic3"
      }
    }
  }
}

Usage

Once configured in Claude Desktop, chain the tools in a single conversation:

Step 1 — Analyse

"Analyse this video: https://www.youtube.com/watch?v=..."

Step 2 — Generate image

"Generate an image for this analysis"

Step 3 — Sync to GitHub

"Sync the analysis and image to GitHub"

Or do it all in one prompt:

"Analyse this video, generate the image, and sync to GitHub: https://www.youtube.com/watch?v=..."

X Feed Digest

"Analyse what karpathy, garrytan, and elvissun posted about AI today"

Or with the full pipeline:

"Analyse the X feed, generate the image, and sync to GitHub"

Tools

Tool	Description	Requires
analyse_video	Analyse a single YouTube video — transcript, takeaways, TLDR, Twitter hook	ANTHROPIC_API_KEY
batch_analyse	Analyse multiple videos from a URL list or config file	ANTHROPIC_API_KEY
list_channel_videos	Fetch recent videos from a YouTube channel	YOUTUBE_API_KEY
sync_to_github	Push analyses as markdown files to a GitHub repo	GITHUB_TOKEN, GITHUB_REPO
analyse_x_feed	Analyse recent posts from curated X accounts — daily digest	X_BEARER_TOKEN
generate_image	Generate comic-book infographic from analysis result	GEMINI_API_KEY

Environment Variables

All prefixed with MCP_CP_:

Variable	Required	Description
MCP_CP_ANTHROPIC_API_KEY	Yes	Anthropic API key for Claude analysis
MCP_CP_YOUTUBE_API_KEY	No	YouTube Data API v3 key (only for list_channel_videos)
MCP_CP_GITHUB_TOKEN	For sync	GitHub personal access token
MCP_CP_GITHUB_REPO	For sync	Target repo in owner/repo format
MCP_CP_GITHUB_BRANCH	No	Branch to push to (default: main)
MCP_CP_GITHUB_OUTPUT_DIR	No	Output directory in repo (default: content/videos)
MCP_CP_CLAUDE_MODEL	No	Claude model to use (default: claude-sonnet-4-20250514)
MCP_CP_MAX_TRANSCRIPT_TOKENS	No	Max transcript length in tokens (default: 100000)
MCP_CP_GEMINI_API_KEY	For image	Google AI Studio API key for image generation
MCP_CP_GEMINI_MODEL	No	Gemini model for images (default: gemini-3.1-flash-image-preview)
MCP_CP_X_BEARER_TOKEN	For X digest	X API v2 bearer token
MCP_CP_X_ACCOUNTS	For X digest	Comma-separated X usernames
MCP_CP_X_TOPICS	No	Comma-separated topics (default: AI,tech)

Cost Projections

Estimated monthly costs for two usage patterns:

Service	Daily (every day)	Weekly X + daily YouTube
YouTube analysis (Claude API)	~$3–5/mo (1 video/day)	~$3–5/mo (1 video/day)
X feed digest (Claude API)	~$2–3/mo	~$0.50/mo
Image generation (Gemini API)	~$2/mo ($0.067/image)	~$2/mo ($0.067/image)
X API reads	~$4/mo ($0.13/day)	~$0.60/mo ($0.15/week)
Total	~$11–14/mo	~$6–8/mo

Claude API costs depend on your Anthropic billing plan and are separate from the X API and Gemini totals shown above. The X API spending cap can be configured in the developer console.

Development

git clone https://github.com/your-username/mcp-content-pipeline.git
cd mcp-content-pipeline
uv sync
uv run pytest -v --cov=src/mcp_content_pipeline
uv run ruff check src/ tests/

Security

• All credentials are configured via local environment variables — never committed to the repo
• The tool is open source but your API keys, YouTube key, and GitHub token stay on your machine
• Never create a .env file in the repo — use shell exports or Claude Desktop config instead

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feat/my-feature)
3. Commit using Conventional Commits (feat: add new feature)
4. Push and open a Pull Request

License

MIT