atlas-mcp-server — MCP Server by cyanheads

by cyanheads · MCP Server · ★ 467

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About atlas-mcp-server

ATLAS: Task Management System []() ATLAS (Adaptive Task & Logic Automation System) is a project, knowledge, and task management system for LLM Agents. Built on a 3-node architecture: ++

agentsaideep-researchgraph-databasellmllm-agentmcpmodelcontextprotocolneo4jprojects-tasks-knowledge

Quick Facts

Stars467
Forks69
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score45.15/100
Open Issues8
Last Updated2025-07-22
Created2024-12-16
Platformsmcp, node
Est. Tokens~225k

Compatible Skills

These tools work well together with atlas-mcp-server for enhanced workflows:

  • Alfred — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • OmniFocus-MCP — semantic(0.37)+rare_topics+same_lang+similar_pop+shared_platform (48%)
  • vikunja-mcp — semantic(0.33)+rare_topics+same_lang+similar_pop+shared_platform (46%)

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Frequently Asked Questions

What is atlas-mcp-server?

atlas-mcp-server is 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. It is categorized as a MCP Server with 467 GitHub stars.

What programming language is atlas-mcp-server written in?

atlas-mcp-server is primarily written in TypeScript. It covers topics such as agents, ai, deep-research.

How do I install or use atlas-mcp-server?

You can find installation instructions and usage details in the atlas-mcp-server GitHub repository at github.com/cyanheads/atlas-mcp-server. The project has 467 stars and 69 forks, indicating an active community.

What license does atlas-mcp-server use?

atlas-mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to atlas-mcp-server?

The top alternatives to atlas-mcp-server on Agent Skills Hub include code-graph-rag, npcpy, nerve. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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