iReader
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Extracts content from various online sources, including webpages, YouTube videos, tweets, and PDFs.
About
iReader provides a Model Context Protocol (MCP) server designed to read and extract content from various internet sources. It offers tools for fetching webpage content, YouTube video transcripts, tweet threads, and text from PDF files. The server can be easily tested and debugged using mcp-cli or inspected through the MCP Inspector web UI, and integrates seamlessly with Claude Desktop by configuring the appropriate command and arguments.
Key Features
- Extracts text content from PDF files.
- Extracts transcripts from YouTube videos.
- 0 GitHub stars
- Fetches content from webpages in markdown format.
- Compatible with Claude Desktop via MCP.
- Retrieves tweet threads.
Use Cases
- Summarizing content from multiple online sources.
- Creating a knowledge base from online documents.
- Analyzing data from social media.
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