Question 1

What is an MCP Server?

Accepted Answer

An MCP (Model Context Protocol) server acts as a bridge, enabling AI models to access and interact with external data sources and tools. It standardizes how applications provide context to Large Language Models (LLMs).

Question 2

What is the SolarWinds Logs MCP Server?

Accepted Answer

It's an MCP server that allows you to access and visualize your SolarWinds Observability logs within the UBOS ecosystem. This enables AI agents to analyze and act on log data.

Question 3

What are the key features of the SolarWinds Logs MCP Server?

Accepted Answer

Key features include seamless integration with SolarWinds Observability, flexible search and filtering, powerful visualization capabilities, configurable time ranges, pagination support, and multiple authentication methods.

Question 4

What are some use cases for the SolarWinds Logs MCP Server?

Accepted Answer

Use cases include automated troubleshooting, proactive threat detection, performance optimization, real-time monitoring and alerting, and AI-powered log analysis.

Question 5

How do I install the SolarWinds Logs MCP Server?

Accepted Answer

You can install it using npm, by cloning and building from source, or using npx. Detailed instructions are provided in the documentation.

Question 6

How do I configure the SolarWinds API token?

Accepted Answer

You can configure the API token in your MCP settings file, as an environment variable (SOLARWINDS_API_TOKEN), or in a local .env file (for testing).

Question 7

What is UBOS?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with your enterprise data, and build custom AI Agents with your LLM model and Multi-Agent Systems.

Question 8

What is the `search_logs` tool?

Accepted Answer

The `search_logs` tool allows you to search SolarWinds Observability logs with optional filtering based on keywords, time ranges, entity IDs, and more.

Question 9

What is the `visualize_logs` tool?

Accepted Answer

The `visualize_logs` tool generates a histogram JSON response for log events, formatted for Claude and canvas representations. It supports configurable time intervals and time zones.

Question 10

How do I debug the MCP server?

Accepted Answer

Use the MCP Inspector, which provides tools to view MCP messages, inspect request/response payloads, test tools interactively, and monitor server state. Run `npm run debug:inspector` to access the inspector in your browser.

Question 11

What if I encounter the ENOENT spawn npx issue on Windows?

Accepted Answer

Use the alternative configuration provided in the documentation, specifying the full paths to node.exe and npx-cli.js.

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