MCP server for streaming NDJSON log triage — query patterns, detect anomalies, summarize timelines without loading gigabyte files into context.
MCP server for streaming NDJSON log triage — query patterns, detect anomalies, summarize timelines without loading gigabyte files into context.
MCP server that stream-parses NDJSON log files without loading them into memory — filter by pattern, detect error spikes via Z-score analysis, summarize severity timelines by time window.
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| Tool | What it does |
|---|---|
| query_log_pattern | Filter log entries by a field/value match. Returns up to N matching entries, streaming the file without loading it entirely. Pass lineStartPattern (e.g. "^{") to reconstruct multiline stack traces silently dropped by the |
| detect_error_anomalies | Z-score frequency analysis. Buckets errors by time window, computes mean + stddev, flags windows where the error rate is anomalously high. |
| summarize_log_timeline | Chronological aggregation of errors, warnings, and info counts per time window. Quick visual of where the incident is. |
| correlate_request | Reconstructs a distributed trace from multiple NDJSON log files. Given a trace_id, collects all correlated events in chronological order across all files and surfaces the services involved and total duration. |
| discover_log_schema | Analyze a log file to infer its wrapper format (NDJSON, Syslog, Kubernetes container logs) and extract type schemas, identifying polymorphic keys, timestamp patterns, and severity fields. |
| group_semantic_patterns | Cluster log messages dynamically using the fixed-depth tree-based **Drain parsing algorithm** to isolate distinct log templates and analyze their parameter distributions (wildcard variations). |
| start_live_triage | Start background log tailing with real-time Z-score anomaly alerting on error frequency spikes and heap memory protection limits. Dispatches notifications directly over standard JSON-RPC channels. |
| query_external_logs | A unified gateway to query central log providers (Datadog, Splunk, Elasticsearch), converting search patterns to vendor-specific dialects and mapping the output into the standardized **OpenTelemetry Log Data Model** stru |
{
"mcpServers": {
"log-triage": {
"command": "npx",
"args": [
"-y",
"ndjson-local-log-triage-mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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