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MCP File Summarizer

@DevOpsDynamoHub

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

DevOpsDynamoHub

关于 MCP File Summarizer

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

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

MCP File Summarizer 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP File Summarizer 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

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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