Awesome AI Agents › Inventory Automation Agents
cyanheads/atlas-mcp-server
⭐ 479
TypeScript
repository created 2024-12-16
ATLAS (Adaptive Task & Logic Automation System) is a sophisticated task management system designed specifically for LLM (Large Language Model) agents, leveraging a Neo4j graph database to manage complex workflows through a three-tier architecture consisting of Projects, Tasks, and Knowledge. This system is implemented as a Model Context Protocol (MCP) server, enabling seamless interaction between LLM agents and the project management database. The architecture allows for detailed management of projects, where each project can contain multiple tasks and associated knowledge items, facilitating comprehensive tracking and organization.
The system supports a wide range of features including project lifecycle management, task prioritization, categorization, and dependency tracking, as well as a structured knowledge repository that supports domain categorization and citation tracking. The use of Neo4j provides robust data integrity through ACID-compliant transactions and optimized queries, enabling advanced search capabilities with fuzzy matching and wildcard support. This makes it possible to perform cross-entity searches across projects, tasks, and knowledge items, enhancing the ability to retrieve relevant information efficiently.
ATLAS supports integration with various MCP-compatible clients such as Claude Desktop and IDEs, allowing LLM agents to leverage the server's capabilities for managing projects, tasks, and knowledge. The system also supports dependency relationships between projects and tasks, enabling the creation of complex workflows with prerequisites and sequential execution requirements. The platform is designed to be flexible, supporting both self-hosting via Docker and cloud deployment using Neo4j AuraDB.
Overall, ATLAS provides a powerful and flexible environment for managing complex task workflows and knowledge bases, making it an ideal tool for organizations and developers working with LLM agents who require advanced project and task management capabilities integrated with AI-driven workflows.
https://github.com/cyanheads/atlas-mcp-server
acid-transactionsagentsaiai-integrationatlascomplex-workflowscross-entity-searchdeep-researchdependency-managementdockerfuzzy-matchinggraph-databaseknowledgellmllm-agentllm-agentsmcpmcp-servermodel-context-protocolmodelcontextprotocolneo4jneo4j-auradbproject-management-databaseprojectsprojects-tasks-knowledgetask-managementtasksthree-tier-architectureunified-search
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