Frequently Asked Questions (FAQ) about Kibana MCP Server

Q: What is the Kibana MCP Server? A: The Kibana MCP (Model Context Protocol) Server is a tool that provides a convenient API for accessing Kibana logs. It allows applications and AI tools to seamlessly retrieve and analyze log data, enabling intelligent automation and data-driven decision-making.

Q: What is MCP (Model Context Protocol)? A: MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). The Kibana MCP Server leverages this protocol to ensure compatibility with modern AI tools.

Q: What are the key features of the Kibana MCP Server? A: Key features include: * Simple API for log searching and analysis * Flexible authentication options * Time-based searching * Pattern analysis tools * Real-time log streaming

Q: What are some use cases for the Kibana MCP Server? A: Some use cases include: * AI-powered incident response * Enhanced security monitoring * Application performance optimization * Streamlined debugging and troubleshooting * Customer experience enhancement

Q: How does the Kibana MCP Server integrate with UBOS? A: The Kibana MCP Server can be integrated with the UBOS full-stack AI Agent Development Platform to build AI Agents that automate log management tasks, integrate log data with other enterprise data sources, and address specific business needs.

Q: What are the prerequisites for installing the Kibana MCP Server? A: The prerequisites are: * Python 3.8+ * Access to a Kibana instance * Kibana authentication token

Q: How do I obtain a Kibana authentication token? A: You can obtain the token from your Kibana instance by: * Logging in to your Kibana dashboard in a web browser * Opening browser developer tools (right-click → Inspect or press F12) * Navigating to the “Application” tab in developer tools * Selecting “Cookies” under “Storage” * Looking for the “pomerium” cookie (or similar authentication cookie) for your Kibana domain * Copying the complete cookie value

Q: How do I configure the Kibana MCP Server? A: You can configure the server by updating the config.yaml file with your Kibana connection settings and authentication token.

Q: What are the different API endpoints available? A: The available API endpoints are: * /api/search_logs * /api/get_recent_logs * /api/analyze_logs * /api/extract_errors * /api/correlate_with_code * /api/stream_logs_realtime * /api/set_auth_token

Q: How do I troubleshoot issues with the Kibana MCP Server? A: You can troubleshoot issues by: * Testing Kibana connectivity using python test_kibana_connection.py * Checking timestamp field issues in config.yaml * Ensuring your authentication token is valid

Q: What license is the Kibana MCP Server released under? A: The project is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).