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O11y Server

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Connects to Elastic Agent Builder to enable AI-powered application health monitoring using OTEL metrics, traces, and logs from Elastic Serverless Observability.

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Описание

Connects to Elastic Agent Builder to enable AI-powered application health monitoring using OTEL metrics, traces, and logs from Elastic Serverless Observability.

README

Connect to Elastic Agent Builder for AI-powered application health monitoring using OTEL data from Elastic Serverless Observability.

✨ Features

  • AI-Powered Analysis through Elastic Agent Builder
  • Real-time Insights from OTEL metrics, traces, and logs
  • Built-in Tools for comprehensive monitoring
  • Easy Integration with Cursor IDE and other MCP clients
  • No Local Server Required - direct connection to Elastic

🎯 Available Agent Builder Tools

  • platform.core.search - Search OTEL data in Elasticsearch
  • platform.core.execute_esql - Execute ESQL queries on OTEL data
  • platform.core.generate_esql - Generate ESQL queries for analysis
  • Built-in Analysis - Error patterns, performance metrics, resource utilization
  • Real-time Monitoring - Application health, service dependencies, bottlenecks

🚀 Quick Start

Prerequisites

  • Elastic Serverless Observability endpoint with Agent Builder enabled
  • Valid API key for Elastic
  • Cursor IDE (optional, for MCP integration)

Installation

  1. Clone the repository

    git clone [email protected]:poulsbopete/o11y-mcp-server.git
    cd o11y-mcp-server
    
  2. Configure credentials

    # Option 1: Use setup script (recommended)
    ./setup-env.sh
    # Then edit .env file with your credentials
    
    # Option 2: Set environment variables
    export ELASTIC_ENDPOINT=https://your-endpoint.kb.us-east-1.aws.elastic.cloud
    export ELASTIC_API_KEY=your-api-key
    
  3. Connect to Agent Builder

    # Test Agent Builder connection
    ./connect-to-agent-builder.sh
    
    # Query application health
    ./query-application-health.sh
    
  4. Set up Cursor integration (optional)

    # Create Cursor MCP configuration
    ./setup-cursor-agent-builder.sh
    

🔗 Cursor Integration

Quick Setup

./setup-cursor-agent-builder.sh

Manual Setup

  1. Run the Cursor configuration script
  2. Restart Cursor IDE
  3. Connect to Elastic Agent Builder
  4. Ask questions like "What's the health of my applications?"

📊 Data Sources

Agent Builder connects to Elastic Serverless Observability and analyzes:

  • Metrics: metrics-* indices (CPU, memory, custom metrics)
  • Logs: logs-* indices (application logs, errors, events)
  • Traces: traces-* indices (distributed tracing data)

🛠️ Configuration

Environment Variables

  • ELASTIC_ENDPOINT - Your Elastic Serverless endpoint
  • ELASTIC_API_KEY - Your Elastic API key
  • LOG_LEVEL - Logging level (default: INFO)

Cursor MCP Configuration

The setup script creates ~/.cursor/mcp_config.json with Agent Builder integration.

📝 Example Queries

Once connected to Agent Builder, you can ask:

  • "What's the overall health of my applications?"
  • "Show me metrics for the payment service"
  • "What errors are happening in the last hour?"
  • "Find the slowest operations in my system"
  • "Analyze resource utilization across all services"
  • "Show me trace analysis for the checkout flow"
  • "Generate an ESQL query for error analysis"

🔧 Troubleshooting

Agent Builder Connection Issues

  • Verify Elastic endpoint and API key
  • Check if Agent Builder is enabled on your Elastic instance
  • Test connection: ./connect-to-agent-builder.sh

No Data Found

  • Check if applications are sending OTEL data
  • Verify time range includes recent data
  • Ensure proper Elastic cluster configuration

Cursor Integration Issues

  • Verify MCP configuration in Cursor settings
  • Check Agent Builder is accessible
  • Restart Cursor after configuration changes

📚 Documentation

  • CURSOR-MCP-INTEGRATION.md - Cursor integration guide
  • connect-to-agent-builder.sh - Agent Builder connection script
  • query-application-health.sh - Application health analysis script

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature-name
  3. Commit changes: git commit -am 'Add feature'
  4. Push to branch: git push origin feature-name
  5. Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments


Ready to monitor your application health with AI-powered insights through Elastic Agent Builder! 🎉

from github.com/poulsbopete/o11y-mcp-server

Установка O11y Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/poulsbopete/o11y-mcp-server

FAQ

O11y Server MCP бесплатный?

Да, O11y Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для O11y Server?

Нет, O11y Server работает без API-ключей и переменных окружения.

O11y Server — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить O11y Server в Claude Desktop, Claude Code или Cursor?

Открой O11y Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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