MCP Observability

Unizo's Observability MCP Server provides a unified, agent-friendly interface for accessing and managing log data across integrated monitoring systems. Built on the Model Context Protocol (MCP), this server enables AI agents and LLM clients to interact with structured log data, perform log analysis, and support proactive security and operational insights across multiple observability platforms.

Designed for modern DevOps, SRE, and security automation, this guide outlines installation, tool reference, and runtime configuration required to use the Unizo Observability MCP Server.

Overview

The Unizo Observability MCP Server enables seamless integration of monitoring and logging systems with AI agents through a standardized interface that abstracts the complexity of different observability platforms.

Key Benefits

• Unified Log Management: Streamline log analysis across systems and platforms with a single API interface that normalizes log data from different sources
• AI Agent Compatibility: Built to integrate seamlessly with Claude, GPT, and other agents that speak the MCP protocol for automated log analysis and monitoring
• Structured Data Access: Navigate complex log hierarchies with service-aware filtering, metadata enrichment, and comprehensive search capabilities
• Real-time Monitoring: Access live log streams with severity-based filtering, distributed tracing integration, and comprehensive audit trails
• Security & Compliance: Maintain audit trails, correlation tracking, and secure access patterns for regulatory compliance and security analysis

Available Tools

Tool Reference

Tool Name	Description	Parameters
list_logs	Retrieves paginated list of structured log entries with filtering and sorting capabilities	Required: integration_id, correlation_id Optional: offset, limit, sort

Installation & Setup

Prerequisites

• Node.js or Python runtime (based on your MCP proxy toolchain)
• MCP-compatible AI agent (e.g., Claude, GPT)
• Observability API credentials (see environment setup below)
• Valid integration IDs for your connected observability platforms
• Network access to log sources and the Unizo API endpoint

Example MCP Server Setup (JSON)

{
  "mcpServers": {
    "unizo": {
      "command": "mcp-proxy",
      "args": ["http://172.184.130.51:8999/mcp"],
      "env": {
        "API_ACCESS_TOKEN": "your_account_token"
      }
    }
  }
}

Integration Tip

Integrate this Observability server alongside your Unizo Incident Management and EDR/XDR servers for complete end-to-end monitoring, analysis, and incident response automation.

Environment Variables

Variable	Description
API_ACCESS_TOKEN	Your Unizo-issued API key for secure MCP authentication

Client Integration Flow

1. Start the MCP Server

   • Use your orchestrator (Claude Desktop, GPT plugin, or equivalent)
   • Load the MCP JSON config with the unizo-observability target

2. Discover Log Sources

   • Call list_logs to get an overview of available log data
   • Use filtering parameters to narrow down to relevant time ranges or sources

3. Perform Targeted Analysis

   • Search by severity with search_logs_by_level for error analysis
   • Track distributed requests using search_logs_by_trace
   • Monitor specific services with search_logs_by_service
   • Analyze temporal patterns with search_logs_by_timerange

4. Deep Dive Investigation

   • Get detailed log information with get_log
   • Identify error patterns using analyze_error_patterns
   • Correlate logs across services using trace IDs and correlation IDs

The MCP server provides a consistent interface across different observability platforms, allowing agents to use standardized log analysis tools regardless of the underlying service (ELK, Splunk, Datadog, etc.).

Observability & Logging

All observability tool invocations are comprehensively logged by the MCP server with full agent context, timestamped correlation IDs, and integration attribution.

Early Access Program

The Unizo Observability MCP Server is currently available through our Early Access Program. All customers can gain priority access to these powerful observability management tools and receive dedicated implementation support.

Get Started Today

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