MCP File Summarizer
Lightweight MCP server that summarizes local .txt and .md files using AI agents
Overview
What is MCP File Summarizer?
MCP File Summarizer is a lightweight Model Context Protocol (MCP) server that utilizes AI agents to read and summarize local .txt and .md files.
How to use MCP File Summarizer?
To use MCP File Summarizer, set up the server and call the summarize_file(file_path) function with the path to your text file. It will return a summary of the first 10 lines of the file.
Key features of MCP File Summarizer?
read_file(file_path)→ returns full file contentsummarize_file(file_path)→ returns the first 10 lines as a summary
Use cases of MCP File Summarizer?
- Quickly summarizing lengthy documents for easier review.
- Extracting key points from meeting notes stored in
.mdfiles. - Assisting researchers in summarizing academic papers.
FAQ from MCP File Summarizer?
- Can MCP File Summarizer handle all text formats?
Currently, it supports
.txtand.mdfiles only.
- What are the requirements to run MCP File Summarizer?
You need Python 3.7+ and Flask installed.
- Is MCP File Summarizer free to use?
Yes! It is open-source and available on GitHub.
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