AI-powered log analysis - parse, search, extract errors across 9+ formats
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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π‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
π Stop copy-pasting logs into AI. Let Claude read them directly.
An MCP server for AI-powered log analysis. Parse, search, and debug log files across 9+ formats β right from Claude Code.
| 14 MCP tools | 9+ log formats |
| 280 tests | 81%+ coverage |

Analyzing logs with 14 specialized tools
| Without log-analyzer-mcp | With log-analyzer-mcp |
|---|---|
| Copy-paste chunks of logs | Point Claude at the file |
| Lose context between pastes | Full file access |
| Manual format parsing | Auto-detection |
| Miss related errors | Smart correlation |
Then in Claude Code:
Add to ~/.claude/settings.json:
| Format | Example |
|---|---|
| Syslog | Jan 15 10:30:00 hostname process[pid]: message |
| Apache/Nginx | 127.0.0.1 - - [15/Jan/2026:10:30:00] "GET /path" 200 |
| JSON Lines | {"timestamp": "...", "level": "ERROR", "message": "..."} |
| Docker | 2026-01-15T10:30:00.123Z stdout message |
| Python | 2026-01-15 10:30:00,123 - module - ERROR - message |
| Java/Log4j | 2026-01-15 10:30:00,123 ERROR [thread] class - message |
| Kubernetes | level=error msg="..." ts=2026-01-15T10:30:00Z |
| Generic | Any line with recognizable timestamp |
| Metric | Value |
|---|---|
| 100MB log file | < 10 seconds |
| Memory footprint | Streaming (no full load) |
| Max tested size | 1GB+ |
| Format detection | < 100ms |
| Tool | Description |
|---|---|
log_analyzer_parse | Detect format and extract metadata |
log_analyzer_search | Search with context lines |
log_analyzer_extract_errors | Extract and group errors |
log_analyzer_summarize | Generate debugging summary |
log_analyzer_correlate | Find related events |
log_analyzer_watch | Monitor for new entries |
log_analyzer_ask | Natural language queries |
log_analyzer_scan_sensitive | Detect PII/credentials |
| + 6 more | Full reference β |
Find errors:
Search with context:
Correlate events:
Scan for secrets:
MIT License - see LICENSE for details.
Found this useful? Give it a β on GitHub!
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