A
licenseA
qualityD
maintenanceMCP server for log file analysis. Gives LLMs the ability to efficiently analyze large log files without loading them into context.
7
100
MIT
ndjson-local-log-triage-mcp
by vola-trebla
Related Servers
Alternatives to ndjson-local-log-triage-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceMCP server for collecting and analyzing CLI/web server error logs. Enables watching log files/directories, parsing common error patterns, and querying/analyzing logs through natural language.3 npmMIT
- FlicenseBqualityDmaintenanceA log analysis MCP server that enables tailing, searching, filtering, and summarizing logs from local files and Docker containers.7-
- MIT No Attribution
- AlicenseAqualityDmaintenanceSemantic log clustering for incident triage, exposed as an MCP server.1Academic Free v1.1
- AlicenseNot gradedqualityDmaintenanceAn MCP server for intelligent log analysis providing semantic search, error pattern clustering, and smart error detection. It enables users to process, vectorize, and query local logs to efficiently identify issues and generate AI-powered summaries.MIT
TDQS
A3.8/5.0
Scored across 8 tools
Disambiguation4/5
Tools target distinct operations: schema exploration, pattern querying, anomaly detection, timeline summary, request correlation, semantic clustering, live monitoring, and external integration. Some minor overlap exists between static anomaly detection and live triage, but descriptions clarify the static vs. real-time contexts.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern using snake_case, with clear action verbs (discover, query, detect, summarize, correlate, group, start). Even the two query tools are distinguished by their target (local pattern vs. external providers).
Tool Count5/5
8 tools is well within the optimal range for a log triage server, covering analysis, querying, aggregation, correlation, clustering, live monitoring, and external access without being excessive or sparse.
Completeness4/5
The tool set covers the core triage lifecycle: schema discovery, querying, anomaly detection, timeline summary, trace correlation, semantic grouping, live monitoring, and external log retrieval. Notable gaps include the absence of a stop/control tool for live triage and a dedicated raw context retrieval by log ID, but these are minor and workable.
Maintenance
ActivityInactive
ResponsivenessUnresponsive