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SolarWinds Logs MCP Server

by jakenuts

visualize_logs

Generate histogram visualizations of log events over time to identify patterns and trends in SolarWinds Observability data.

Instructions

Generate a histogram visualization of log events

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
intervalNoTime interval for histogram bucketshour
startTimeNoUTC start time (ISO 8601 format), defaults to 24 hours ago
endTimeNoUTC end time (ISO 8601 format), defaults to current time
filterNoA search query string
groupNoFilter logs by a specific group name
entityIdNoFilter logs by a specific entity ID
pageSizeNoMaximum messages to analyze
use_utcNoUse UTC time instead of local time
formatNoOutput format: text for ASCII chart, json for Claude visualizationtext

Implementation Reference

  • The main execution logic for the visualize_logs tool: searches logs using provided parameters, generates histogram data, produces ASCII chart or JSON output.
    export async function visualizeLogs( apiClient: SolarWindsApiClient, args: Record<string, any> ): Promise<string> { try { // Get current date/time const now = new Date(); const oneDayAgo = new Date(now); oneDayAgo.setDate(oneDayAgo.getDate() - 1); // Set up search parameters const searchParams: SolarWindsSearchParams = { filter: args.filter, entityId: args.entityId, group: args.group, pageSize: args.pageSize || 1000, direction: 'backward', // Always use backward for visualization to get oldest to newest // Histograms always need a time range to be meaningful startTime: args.startTime !== undefined ? args.startTime : oneDayAgo.toISOString(), endTime: args.endTime !== undefined ? args.endTime : now.toISOString() }; // Set up histogram options const histogramOptions: HistogramOptions = { interval: (args.interval as 'minute' | 'hour' | 'day') || 'hour', useUtc: args.use_utc || false, }; // Perform the search const response = await apiClient.searchEvents(searchParams); // Convert the logs to a format compatible with the histogram generator const events = response.logs.map(log => ({ id: log.id, received_at: log.time, display_received_at: log.time, hostname: log.hostname, program: log.program, message: log.message, // Add other required fields with placeholder values generated_at: log.time, source_name: log.hostname, source_id: 0, source_ip: '', facility: '', severity: log.severity })); // Generate histogram data const histogramData = generateHistogram(events, histogramOptions); // Check if the user wants JSON output for Claude visualization if (args.format === 'json') { // Format the data for Claude visualization const timeRanges = histogramData.data.map(point => point.time); const counts = histogramData.data.map(point => point.count); const claudeVisualizationData = { timeRanges, counts, total: histogramData.total, queryParams: { query: searchParams.filter || '', startTime: searchParams.startTime, endTime: searchParams.endTime } }; return JSON.stringify(claudeVisualizationData, null, 2); } // Generate ASCII chart for text output const chart = generateAsciiChart(histogramData); // Format the response let result = ''; // Add search parameters result += 'Visualization Parameters:\n'; if (searchParams.filter) result += `Query: ${searchParams.filter}\n`; if (searchParams.entityId) result += `Entity ID: ${searchParams.entityId}\n`; if (searchParams.group) result += `Group: ${searchParams.group}\n`; result += `Start Time: ${searchParams.startTime}\n`; result += `End Time: ${searchParams.endTime}\n`; result += `Interval: ${histogramOptions.interval}\n`; result += `Timezone: ${histogramOptions.useUtc ? 'UTC' : 'Local'}\n`; result += `Page Size: ${searchParams.pageSize}\n`; result += '\n'; // Add search metadata result += `Analyzed ${response.logs.length} logs\n`; if (response.pageInfo.nextPage) result += 'Note: More logs available. Results may be incomplete.\n'; result += '\n'; // Add chart result += chart; // Add note about JSON format result += '\n\nTip: Add "format": "json" to get data in a format that Claude can visualize as a chart.\n'; return result; } catch (error) { throw error; } }
  • Zod schema defining input parameters for the visualize_logs tool, including interval, time range, filters, and output format.
    export const histogramOptionsSchema = { interval: z.enum(['minute', 'hour', 'day']).default('hour').describe('Time interval for histogram buckets'), startTime: z.string().optional().describe('UTC start time (ISO 8601 format), defaults to 24 hours ago'), endTime: z.string().optional().describe('UTC end time (ISO 8601 format), defaults to current time'), filter: z.string().optional().describe('A search query string'), group: z.string().optional().describe('Filter logs by a specific group name'), entityId: z.string().optional().describe('Filter logs by a specific entity ID'), pageSize: z.number().optional().default(1000).describe('Maximum messages to analyze'), use_utc: z.boolean().optional().default(false).describe('Use UTC time instead of local time'), format: z.enum(['text', 'json']).optional().default('text').describe('Output format: text for ASCII chart, json for Claude visualization') } as const;
  • MCP tool registration for 'visualize_logs' using server.tool(), linking schema and handler with error handling.
    // Register visualize_logs tool server.tool( 'visualize_logs', 'Generate a histogram visualization of log events', histogramOptionsSchema, async (args) => { try { const result = await visualizeLogs(apiClient, args); return { content: [ { type: 'text', text: result, }, ], }; } catch (error) { const message = error instanceof Error ? error.message : String(error); return { content: [ { type: 'text', text: `Error visualizing logs: ${message}`, }, ], isError: true, }; } } );

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