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MCP File Summarizer

@DevOpsDynamoHub

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

DevOpsDynamoHub

MCP File Summarizer について

Lightweight MCP server that summarizes local .txt and .md files using AI agents

#mcp-file-summarizer#ai-summarization#text-processing

MCP File Summarizer 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。

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MCP File Summarizer 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 MCP File Summarizer?

MCP File Summarizer is a lightweight Model Context Protocol (MCP) server that enables AI agents (e.g., Cursor, Claude) to read and summarize local .txt or .md files.

How to use MCP File Summarizer?

Install Python 3.7+ and Flask, then run the server. Invoke the read_file(file_path) tool to retrieve full file content or summarize_file(file_path) to get the first 10 lines as a summary.

Key features of MCP File Summarizer?

  • Lightweight MCP server for AI agents.
  • read_file returns full file content.
  • summarize_file returns the first 10 lines.
  • Supports .txt and .md file formats.

Use cases of MCP File Summarizer?

  • An AI assistant summarizing a local README file.
  • Extracting key points from a long notes document.
  • Quickly previewing text files without opening them manually.

よくある質問

1

What Python version is required?

Python 3.7 or higher is required.

2

What dependencies does the server need?

Flask must be installed. Use `pip install Flask`.

3

Which file types can the server read?

Only `.txt` and `.md` files are supported.

4

How does the `summarize_file` function work?

It returns the first 10 lines of the file as a summary.

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