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File Summarizer MCP Server

@Muskan244

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

Muskan244

File Summarizer MCP Server について

Claude-compatible tool to read and summarize files using Apache Tika and MCP protocol

#file-summarizer#mcp#apache-tika

File Summarizer MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

File Summarizer MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is File_Summarizer_MCP_Server?

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.

How to use File_Summarizer_MCP_Server?

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.

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
  • Exposes async MCP tools for language detection and translation
  • Built with Python 3.12 and FastMCP framework
  • Ready for use with LLMs or other AI systems

Use cases of File_Summarizer_MCP_Server

  • Summarize PDF or DOCX documents for quick overviews
  • Detect the language of input text or file content
  • Translate text as part of a multi-step AI pipeline
  • Integrate file summarization into MCP-powered assistants

よくある質問

1

What file formats are supported?

Any file type supported by Apache Tika – including PDF, DOCX, TXT, and many others.

2

Does File_Summarizer_MCP_Server require Apache Tika to be installed?

The README states it uses Apache Tika to read content, but does not specify whether Tika must be separately installed or is bundled.

3

What programming language and framework is it built with?

It is built with Python 3.12 and the FastMCP server framework.

4

What tools does File_Summarizer_MCP_Server expose?

It exposes async MCP tools for summarization (of files or raw text), language detection, and translation.

5

Is File_Summarizer_MCP_Server ready for AI workflows?

Yes, it is designed for easy integration with LLMs and other AI systems via the Model Context Protocol.

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