About
Log parse, filter, analyze for AI agents
Security Report
Valid MCP server (2 strong, 4 medium validity signals). 3 known CVEs in dependencies (0 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
8 files analyzed · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-rog0x-log": {
"args": [
"-y",
"@rog0x/mcp-log-tools"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
@rog0x/mcp-log-tools
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
npm install
npm run build
Usage with Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"log-tools": {
"command": "node",
"args": ["path/to/mcp-log-tools/dist/index.js"]
}
}
}
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 |
| Custom | Any format using a regex with named capture groups |
License
MIT
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