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rog0x/mcp-log-tools

rog0x/mcp-log-tools

๐Ÿ“‡ ๐Ÿ  - Log parsing, pattern detection, error extraction, log statistics, and anomaly detection
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Source
collected from the rohitg00/awesome-devops-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-14 ยท last seen 2026-10-16 ยท seen 4ร— ยท listed by 3 sources
Score
score 303 ยท 3 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆœๅŠก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-10-14๏ผ›last seen 2026-10-16ใ€‚There is no official certification or quality rating here โ€” we record sources and dates only.
Third-party quality signals

@rog0x/mcp-log-tools

ไปฅไธ‹ๆ‘˜ๅฝ•่‡ช่ฏฅไป“ๅบ“็š„ README๏ผˆ็‰‡ๆฎต๏ผ‰ ยท ๅœจ GitHub ่ฏปๅฎŒๆ•ด README โ†’

Log analysis and processing tools for AI agents, exposed via the Model Context Protocol (MCP).
Tools
parse_logs
Parse log content in common formats: JSON logs, Apache/Nginx access logs, syslog, and structured logs. Supports custom regex patterns with named capture groups. Extracts timestamp, level, message, source, and additional structured fields.
filter_logs
Filter parsed log entries by:
- Log level (ERROR, WARN, INFO, DEBUG)
- Date range (ISO 8601)
- Keyword search (case-insensitive)
- Regex pattern matching
- Source/logger name
Returns matched entries along with level occurrence counts.
analyze_logs
Analyze log patterns to surface operational insights:
- Top 10 most frequent errors (normalized)
- Error rate over time (hourly buckets)
- Request volume per hour
- Slowest endpoints (from HTTP access logs)
- Anomaly detection (sudden spikes or drops using standard deviation)
format_logs
Convert between log formats and produce reports:
- JSON to plain text, plain to JSON, CSV, or table
- ANSI colorization by log level
- Structured field extraction
- Summary report generation
log_stats
Compute comprehensive log statistics:
- Total and non-empty line counts
- Level distribution with percentages
- Date range coverage
- Unique IP addresses and request counts
- Top user agents
- HTTP status code distribution
- Throughput (entries per second)
Setup
Usage with Claude Desktop
Add to your claude_desktop_config.json:
Supported Log Formats
| Format | Example |
|--------|---------|
| JSON | {"timestamp":"2024-01-15T10:30:00Z","level":"ERROR","message":"Connection failed"} |
| Apache/Nginx | 127.0.0.1 - frank [10/Oct/2000:13:55:36 -0700] "GET /index.html HTTP/1.1" 200 2326 |
| Syslog | Jan 1 00:00:00 hostname process[1234]: Something happened |
| Structured | 2024-01-15T10:30:00.000Z [ERROR] [ModuleName] Something failed |
Source
awesome ยท https://github.com/rog0x/mcp-log-tools
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