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MCP ServerAtlan

Server-based infrastructure enabling AI agents to securely access governed enterprise data assets.

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Product details

Overview

Atlan MCP Server is an enterprise-grade server designed to enable secure, governed access to organizational data for AI agents, applications, and automation workflows. Built on Atlan’s active metadata and data governance platform, the MCP Server allows enterprises to connect AI systems with trusted, well-documented data assets across the organization. It ensures that AI tools, copilots, and automation services interact with data in a controlled and policy-driven manner while maintaining visibility, lineage, and compliance. By centralizing data access and governance, the solution helps organizations scale AI adoption safely while maintaining data quality, consistency, and security.

Features and Capabilities

  • AI Agent Connectivity: Enables AI copilots, LLM-based applications, and automation tools to access governed enterprise data securely.
  • Active Metadata Integration: Leverages metadata intelligence to provide context, lineage, ownership, and usage insights for data assets.
  • Governed Data Access: Enforces data governance policies, access controls, and compliance requirements across AI workflows.
  • Unified Data Discovery: Allows AI systems to discover datasets, tables, metrics, and business glossary terms through a centralized server layer.
  • Security and Compliance Controls: Applies role-based access, auditing, and policy enforcement to prevent unauthorized data usage.
  • Real-Time Data Context: Supplies AI tools with up-to-date metadata, definitions, and relationships to improve accuracy and trust.
  • Integration Framework: Connects with data platforms, analytics environments, and enterprise tools within the Atlan ecosystem.
  • Lineage and Traceability: Provides transparency into data sources, transformations, and downstream dependencies used by AI processes.
  • Scalable AI Enablement: Supports enterprise AI adoption by providing standardized infrastructure for AI-to-data communication.
  • Collaboration Enablement: Allows data teams to define trusted datasets, glossary definitions, and governance standards for AI consumption.