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Atlas — MCP Servers

Empowers LLM agents with intelligent project and task management by leveraging a Neo4j graph databa…

Quick Info

Category
analytics

Tags

mcp
ai
database
analytics

Overview

Empowers LLM agents with intelligent project and task management by leveraging a Neo4j graph database and the Model Context Protocol. This MCP server integrates with the Model Context Protocol to provide AI agents and applications with structured access to Atlas's capabilities. The server enables seamless interaction between LLMs and the underlying services through standardized protocols. Key integration points include: - Direct API access through MCP tools - Structured data exchange with AI agents - Real-time interaction capabilities - Standardized protocol compliance The server is designed to work with popular MCP clients like Claude Desktop, Cursor, and other AI development environments.

Key Features

Model Context Protocol integration
AI agent compatibility
Standardized API access

Use Cases

Leverage Atlas for analytics tasks
Integrate Atlas with Claude and other AI assistants
Streamline analytics processes using MCP protocol