MCP File Summarizer
@DevOpsDynamoHub
About MCP File Summarizer
Lightweight MCP server that summarizes local .txt and .md files using AI agents
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
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Overview
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_filereturns full file content.summarize_filereturns the first 10 lines.- Supports
.txtand.mdfile 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.
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