MCP File Summarizer

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.

FAQ from MCP File Summarizer

What Python version is required?

Python 3.7 or higher is required.

What dependencies does the server need?

Flask must be installed. Use pip install Flask.

Which file types can the server read?

Only .txt and .md files are supported.

How does the summarize_file function work?

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