Divide and Conquer MCP Server

Created By
MCP-Mirrora year ago
Mirror of
Overview

What is Divide and Conquer MCP Server?

The Divide and Conquer MCP Server is a Model Context Protocol (MCP) server designed to help AI agents break down complex tasks into manageable pieces using a structured JSON format.

How to use Divide and Conquer MCP Server?

To use the server, add it to your MCP configuration and utilize its tools to initialize tasks, add checklist items, and track progress through structured commands.

Key features of Divide and Conquer MCP Server?

  • Structured JSON format for task information
  • Task tracking with checklist functionality
  • Context preservation for tasks
  • Progress monitoring and visualization
  • Task ordering and insertion capabilities
  • Metadata tracking for tasks
  • Ability to store notes and resources related to tasks

Use cases of Divide and Conquer MCP Server?

  1. Managing complex software development tasks
  2. Project planning and management
  3. Conducting research and analysis

FAQ from Divide and Conquer MCP Server?

  • Can the server handle all types of tasks?

Yes! It is designed to manage complex tasks across various domains.

  • Is there a recommended installation method?

Yes, using npx is recommended for easy setup.

  • How does the server maintain context?

It uses dedicated fields in its JSON structure to preserve context across tasks.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
MCP-Mirror
Star
0
Language
JavaScript
License
MIT 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
Voyei

4 hours ago