What file formats are supported?
Any file type supported by Apache Tika – including PDF, DOCX, TXT, and many others.
@Muskan244
Basic information
Claude-compatible tool to read and summarize files using Apache Tika and MCP protocol
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
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File_Summarizer_MCP_Server is a lightweight server built using the Model Context Protocol (MCP) to read and summarize content from various file formats via Apache Tika. It supports summarization of both raw text and file content, and exposes additional MCP tools for language detection and translation, making it suitable for integration into AI workflows.
The README does not provide installation, configuration, or invocation instructions. The server is built with Python 3.12 and the FastMCP server framework, and exposes async MCP tools for summarization, language detection, and translation.
Any file type supported by Apache Tika – including PDF, DOCX, TXT, and many others.
The README states it uses Apache Tika to read content, but does not specify whether Tika must be separately installed or is bundled.
It is built with Python 3.12 and the FastMCP server framework.
It exposes async MCP tools for summarization (of files or raw text), language detection, and translation.
Yes, it is designed for easy integration with LLMs and other AI systems via the Model Context Protocol.
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