Claude-compatible tool to read and summarize files using Apache Tika and MCP protocol
Overview
what is File_Summarizer_MCP_Server?
File_Summarizer_MCP_Server is a lightweight server that utilizes the Model Context Protocol (MCP) to read and summarize content from various file formats using Apache Tika.
how to use File_Summarizer_MCP_Server?
To use the server, integrate it into your AI workflows and send files or raw text for summarization. It supports various file types like PDF, DOCX, and TXT.
key features of File_Summarizer_MCP_Server?
- Reads content from any file type supported by Apache Tika (PDF, DOCX, TXT, etc.)
- Summarizes file content or raw input text
- Simple async MCP tools for easy extension and integration
- Exposes async MCP tools for language detection and translation
- Built with Python 3.12 and FastMCP server framework
- Ready for use with LLMs or other summarization backends
use cases of File_Summarizer_MCP_Server?
- Summarizing lengthy research papers in PDF format.
- Extracting key points from DOCX reports for quick reviews.
- Integrating summarization capabilities into chatbots or virtual assistants.
FAQ from File_Summarizer_MCP_Server?
- What file formats does the server support?
The server supports various formats including PDF, DOCX, and TXT.
- Is it easy to integrate into existing workflows?
Yes! The server is designed for easy integration with async MCP tools.
- Can it handle large files?
Yes, it can read and summarize large files efficiently.