mcp-syslog
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Alternatives to mcp-syslog
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceProvides telemetry tools for retrieving recent logs and system metrics to support root-cause analysis of infrastructure incidents. Enables autonomous incident triage with grounded verification and human-in-the-loop remediation.1-
- AlicenseNot gradedqualityBmaintenanceEnables log analysis through MCP tools for searching logs, retrieving error contexts, and summarizing incidents with self-verified root-cause hypotheses.6 npmMIT
- FlicenseAqualityCmaintenanceEnables debugging of distributed transactions by continuously ingesting Docker container logs, indexing them by trace/request ID, and exposing MCP tools to search, tail, and correlate logs across services.7-
- AlicenseNot gradedqualityAmaintenanceEnables natural-language querying and investigation of homelab logs from syslog, Docker, OTLP, and AI transcripts, with SQLite full-text search, timeline correlation, incident clustering, and fleet topology insights.3AGPL 3.0
- FlicenseNot gradedqualityDmaintenanceEnables querying and analyzing logs from multiple remote Unix hosts via the Log Collector API, with tools for search, error detection, and summary generation.-
- FlicenseAqualityDmaintenanceEnables searching and analyzing AWS CloudWatch logs with support for configurable log groups, time-based searches, and service-specific log stream filtering.5-
TDQS
Scored across 6 tools
Each tool has a distinct purpose: listing sources, regex search, structured search, tailing recent entries, context around a time, and statistics. Although grep and search both query logs, their descriptions differentiate them (regex vs. structured filters), so an agent can select the right one without confusion.
All tools follow the same pattern: 'syslog_' + verb/noun + '_tool'. The naming is consistent in style (snake_case) and structure, making it predictable and easy to infer functionality from the name.
6 tools is a well-scoped set for a syslog query server. Each tool serves a clear operational need without redundancy, and the count is within the ideal range for a focused MCP server.
The tool surface covers the core lifecycle of log querying: discovering sources, searching (both simple and advanced), tailing, contextual analysis, and statistics. No obvious gaps like missing CRUD operations (not applicable here) or missing workflow steps are evident.