Netwrix Access Analyzer MCP Server

The Netwrix Access Analyzer (NAA) MCP Server bridges the gap between enterprise security tooling and conversational AI assistants such as Claude. It turns a rich set of security insights—ranging from Active Directory permissions to file‑system data loss prevention (DLP) matches—into a programmatic API that AI agents can invoke on demand. By exposing these capabilities through the Model Context Protocol, developers no longer need to write custom connectors or parse raw logs; instead they can ask the assistant questions like “Which users have excessive permissions on our file shares?” or “Show me the latest AD security assessment results,” and receive structured, actionable data directly.

At its core, the server offers a dual‑mode experience. On one side it connects automatically to an SQL Server instance where Netwrix stores its scan results, providing dynamic schema exploration and query execution. On the other side it integrates with the Netwrix Access Analyzer file‑system tools, allowing discovery of sensitive data locations, open shares, and shadow access. This hybrid approach gives developers a unified interface for both database‑backed and file‑system‑based security analytics, reducing context switching between tools.

Key capabilities include:

• Active Directory analysis – retrieve effective group memberships, permission views, certificate vulnerabilities, and more with fine‑grained filtering.
• File system exploration – locate DLP matches, open shares, trustee access patterns, and unused permissions.
• Database connectivity – automatically connect to a specified MSSQL database on startup, expose table schemas, and run arbitrary queries.
• Operational insights – list running Netwrix Access Auditor jobs and examine shadow access details.

These features empower a variety of real‑world scenarios. Security teams can embed the MCP Server into automated compliance checks, allowing AI assistants to surface policy violations in natural language. Incident responders can quickly query for users with stale or excessive access during a breach investigation. DevOps pipelines might invoke the server to validate that new deployments do not introduce unintended permissions.

Integration with AI workflows is seamless: once the MCP Server is registered in Claude Desktop, each tool appears as a callable function. The assistant can prompt users for parameters (e.g., filter values or table names) and then return the results as structured JSON, which can be rendered in chat or passed to downstream automation scripts. This tight coupling eliminates manual data wrangling and accelerates decision‑making.

Unique advantages of the NAA MCP Server include its automatic database connection, which removes the need for manual configuration each time the server starts, and its comprehensive coverage of both AD and file‑system security domains. By consolidating these data sources into a single, AI‑friendly interface, the server delivers unmatched visibility and operational efficiency for security professionals who rely on conversational assistants to manage complex environments.