MCP File Summarizer
by DevOpsDynamoHub
A lightweight Model Context Protocol (MCP) server that allows AI agents to read and summarize local `.txt` or `.md` files.
Last updated: N/A
What is MCP File Summarizer?
This is a lightweight Model Context Protocol (MCP) server designed to enable AI agents (like Cursor, Claude, etc.) to read and summarize local text-based files such as .txt and .md files.
How to use MCP File Summarizer?
To use this server, you need Python 3.7+ and Flask installed. Install Flask using pip install flask. The server provides two main functions: read_file(file_path) which returns the full content of the specified file, and summarize_file(file_path) which returns the first 10 lines of the file as a summary.
Key features of MCP File Summarizer
read_file(file_path) - returns full file content
summarize_file(file_path) - returns the first 10 lines as a summary
Use cases of MCP File Summarizer
Allowing AI agents to understand local file content
Summarizing documentation for AI processing
Providing context to AI models from local files
FAQ from MCP File Summarizer
What file types are supported?
What file types are supported?
The server is designed to work with .txt and .md files.
What Python version is required?
What Python version is required?
Python 3.7 or higher is required.
How do I install the dependencies?
How do I install the dependencies?
You can install the required dependencies using pip install flask.
What does the read_file function do?
What does the read_file function do?
The read_file function takes a file path as input and returns the entire content of the file.
What does the summarize_file function do?
What does the summarize_file function do?
The summarize_file function takes a file path as input and returns the first 10 lines of the file as a summary.