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ATLAS: Task Management System

@cyanheads

A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.
Overview

What is ATLAS MCP Server?

ATLAS MCP Server is a Model Context Protocol server designed to facilitate task management and organization specifically for Large Language Models (LLMs). It structures task management, enabling LLMs to handle complex tasks and maintain dependencies effectively.

How to use ATLAS MCP Server?

To use the ATLAS MCP Server, install it via npm with the command npm install atlas-mcp-server, and configure your MCP client settings to connect to the server.

Key features of ATLAS MCP Server?

  • Hierarchical task structures with parent-child relationships.
  • Robust dependency management and status tracking.
  • Supports rich content formats, including markdown and code.
  • Persistent session management for state recovery.

Use cases of ATLAS MCP Server?

  1. Managing complex workflows in AI applications.
  2. Supporting LLMs in project management and organization tasks.
  3. Facilitating collaboration among multiple LLMs through a structured protocol.

FAQ from ATLAS MCP Server?

  • What is the Model Context Protocol (MCP)?

MCP is a standardized communication protocol that allows LLMs to interact with external systems safely and efficiently.

  • How can I contribute to the project?

Contributions are welcomed! Please fork the repository on GitHub and follow the contributing guidelines provided.

  • Is there documentation available?

Yes, full documentation is available on the GitHub repository, detailing installation, features, and usage examples.

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