AI Agent Integration Guide for Elasticsearch MCP Server

AI Agent Integration Guide for Elasticsearch MCP Server

Overview

This document describes how AI agents should interact with the enhanced Elasticsearch MCP Server for threat hunting, incident response, and security log analysis.

Table of Contents

1. AI Agent Capabilities
2. MCP-Native Workflow Guidance
3. Key Decision-Making Principles
4. Quick Reference: Tool Usage Patterns
5. User Interaction Templates
6. Common Scenarios & Agent Responses
7. Best Practices Summary
8. Complete Example: Full Investigation Flow
9. Integration with Existing Tools
10. Security & Compliance

---

AI Agent Capabilities

What AI Agents Can Do

AI agents using this MCP server can act as **experienced security analysts** by:

1. Understanding User Intent: Interpret vague security questions
2. Asset Discovery: Automatically identify relevant log sources
3. Threat Hunting: Execute targeted searches for attack patterns
4. IoC Analysis: Extract and prioritize indicators of compromise
5. Decision Making: Recommend next investigative steps
6. Report Generation: Create comprehensive incident reports

Read-Only Guardrails

**Important**: All threat hunting and analysis tools are **read-only**. Agents:

• ✅ CAN read and analyse security logs
• ✅ CAN search for IoCs and attack patterns
• ✅ CAN generate reports and recommendations
• ❌ CANNOT modify or delete logs
• ❌ CANNOT create or delete indices
• ❌ CANNOT change security configurations

---

MCP-Native Workflow Guidance

Overview

CrowdSentinel provides **built-in workflow guidance** through MCP primitives (Resources, Prompts, and Tools). This ensures that **any AI agent** connecting to the server knows the correct investigation workflow - no external configuration required.

The Iron Law

NO INVESTIGATION IS COMPLETE WITHOUT ANALYSIS TOOLS

If you have collected data but haven't used analysis tools, the investigation is **INCOMPLETE**.

Accessing Workflow Guidance

MCP Resources (Read-Only Documentation)

AI agents can read workflow documentation directly from the server:

Resource URI	Content
crowdsentinel://investigation-workflow	Complete investigation workflow documentation
crowdsentinel://tool-recommendations	Recommended next steps after each tool

# Example: Read the workflow documentation
workflow_doc = read_resource("crowdsentinel://investigation-workflow")

MCP Prompt (Investigation Starter)

Use the `start-investigation` prompt to begin an investigation with proper workflow:

# Example: Start a new investigation with guided workflow
respon