by microsoft
Query and analyze security data, incidents, and threat intelligence in Microsoft Sentinel’s data lake using natural lang
Query Microsoft Sentinel's security data lake using natural language to search tables and retrieve security logs, incidents, and threat intelligence data.
Microsoft Sentinel is an official MCP server published by microsoft that provides AI assistants with tools and capabilities via the Model Context Protocol. Query and analyze security data, incidents, and threat intelligence in Microsoft Sentinel’s data lake using natural lang It is categorized under auth security, analytics data.
You can install Microsoft Sentinel in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
MIT
Microsoft Sentinel is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Microsoft Sentinel has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Microsoft Sentinel is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
According to our notes, Microsoft Sentinel benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Microsoft Sentinel into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We wired Microsoft Sentinel into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Microsoft Sentinel benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Microsoft Sentinel is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Microsoft Sentinel into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Microsoft Sentinel is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Microsoft Sentinel has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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INSTALL 
The data exploration tool collection in the Microsoft Sentinel MCP server lets you search for relevant tables and retrieve data from Microsoft Sentinel's data lake using natural language.
The Microsoft Sentinel Data Exploration MCP Server is accessible to any IDE, agent, or tool that supports the Model Context Protocol (MCP). Any compatible client can connect to the following remote MCP endpoint:
Authentication OAuth 2.0
Password-Spray Hunt Build security agents that autonomously select relevant sign-in tables, aggregates login attempts by user and IP, and flags patterns consistent with password-spray behavior—like low-frequency attempts over several months across many accounts.
Impossible Travel Check Build security agents that correlate sign-in events by user, calculates geodistance and time gaps between logins, and flags cases where travel speed exceeds realistic thresholds, suggesting credential compromise.
Multi-factor authorization failures Build security agents that analyzes multi-factor auth logs to detect spikes in failure rates, clustering by user, IP, or time window, and surfaces anomalies that deviate from baseline behavior over long periods.
Dormant Account wake-up Build security agents that based on inactivity thresholds, scans for accounts with long silence followed by recent activity, and builds a timeline showing when and how these accounts re-engaged.
Explore Microsoft Sentinel data lake with data exploration collection
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
