MCP File Summarizer

Created By
DevOpsDynamoHuba year ago
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 content
  • summarize_file(file_path) → returns the first 10 lines as a summary

Use cases of MCP File Summarizer?

  1. Quickly summarizing lengthy documents for easier review.
  2. Extracting key points from meeting notes stored in .md files.
  3. Assisting researchers in summarizing academic papers.

FAQ from MCP File Summarizer?

  • Can MCP File Summarizer handle all text formats?

Currently, it supports .txt and .md files 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.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
DevOpsDynamoHub
Star
0
Language
Python
License
-

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

2 days ago