FlexNet Operations Revenera MCP Server User Guide

Revenera MCP Server enables software producers’ AI agents—such as Microsoft Copilot, Amazon Q, and Claude—to directly query FlexNet Operations Analytics data to answer natural-language questions across your monetization data.

This capability offers an alternative to navigating dashboards, building custom reports, or directly querying Snowflake data shares or data access APIs. Instead, users can ask questions in everyday language, while an AI agent dynamically coordinates the relevant data access tools through a standardized interface.

This guide explains how Revenera MCP Server provides AI agents with access to FlexNet Operations data through a standard interface, who can use this capability, how to configure it with different AI agents, how to troubleshoot common issues, and how to select and manage LLM models for AI agents.

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Using AI Agents to Gain Insights from FlexNet Operations Analytics Data

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Setting Up an AI Agent to Access FlexNet Operations Data

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Selecting and Managing LLM Models for AI Agents

Read-Only Access (No Data Changes)

When an AI agent connects to Revenera MCP Server, it can issue read-only queries through the Data Access API. Revenera MCP Server provides read-only access to the FlexNet Operations Analytics data warehouse but does not allow changes to FlexNet Operations data and does not provide access to Web Services APIs (no create, update, or delete operations).