graylog-prd

name	graylog-prd
description	Tools for interaction with graylog production environment

Graylog Production Environment Skill

Metadata

• Skill Name: graylog-prd
• Trigger Tag: #graylog-prd
• MCP Server: Graylog MCP Server (Production)
• Category: Log Management (Production Environment)

Description

Access Graylog production environment for real-time log search, aggregation, and analysis. Use for production incident response, error investigation, and system behavior tracking. Logs are organized into streams and stored in indices. Queries use Lucene syntax.

Capabilities

• Search production log messages using Lucene query syntax
• Aggregate logs (group by fields, count, avg, min, max, percentiles, etc.)
• List available streams and scope searches to specific streams
• List indices and index sets (data retention configuration)
• List configured inputs (syslog, GELF, etc.)
• Discover available fields per stream (list_fields) before querying
• Get current server time and system status

Key Concepts

• Streams: Named partitions of log data (e.g., by app, environment, source). Always scope searches to streams for performance.
• Indices: Physical storage units; use list_indices to check data availability and health.
• Fields: Field names vary per stream. Always call list_fields first to discover valid field names before building queries.
• Lucene syntax: Queries use Lucene (e.g., level:ERROR AND source:api-server). Leading wildcards are disabled by default.

Activation

Include #graylog-prd tag in your prompt to activate this skill.

Usage Examples

Incident Investigation

#graylog-prd Search production logs for errors related to payment processing in last 2 hours

Aggregate Error Count by Source

#graylog-prd Count errors grouped by source in production last 1 hour

Authentication Failures

#graylog-prd Show authentication failures in last 24 hours

Discover Fields First

#graylog-prd List available fields in the production application stream

Real-time Analysis with Web Search

#graylog-prd #fetch Analyze current error spike in production

Configuration

Do NOT search the filesystem for mcp-config.json or similar files directly. Do NOT read .copilot/mcp-config.json directly — always route through custom agent file. MCP server is configured in the graylog-prd.agent.md custom agent file.

Environment Variables

Use environment variables defined in .copilot/.env.

Connectivity Check

Before taking any action, verify the Graylog Production MCP server is reachable:

1. Call get_system_status as a lightweight probe.
2. If the call fails or returns an error, immediately stop and report: "Graylog production MCP server is unavailable. Cannot proceed."
3. Only proceed with the user's request after a successful probe response.

Best Practices

• Always call list_streams first to get stream IDs, then scope searches using streams parameter
• Always call list_fields before querying to discover valid field names for the target stream
• Use aggregate_messages instead of search_messages for counting/grouping
• Pass time range as range_seconds parameter — never embed time in the query string
• Avoid leading wildcards in Lucene queries (disabled by default)

Limitations

• Production environment — use with care, large queries may impact performance
• Leading wildcards are disabled in Lucene queries
• Requires proper authentication
• Data availability depends on index retention policies

Environment Isolation

CRITICAL: Never use #graylog-prd and #graylog-tst in the same request. Choose one environment per query.

GitHub Copilot & LLM Optimization Context

• Environment Indicator: You are operating within the GitHub Copilot CLI context. Always leverage native GitHub Copilot capabilities when interacting with codebases.
• Model Optimization: This prompt is optimized specifically for Claude Opus 4.5.
  • Leverage Claude Opus 4.5's deep comprehension and superior coding accuracy for complex architectural and logical tasks.
  • Ensure responses are direct, code-focused, and minimize conversational filler to optimize for developer workflows.