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@rog0xMCP server · External

Log parse, filter, analyze for AI agents

Application monitoringv1.0.2TypeScript
Freeno charge per call

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

npm@rog0x/mcp-log-toolsv1.0.2

Run

npx -y @rog0x/mcp-log-tools

MCP client config

{
  "mcpServers": {
    "log": {
      "command": "npx",
      "args": [
        "-y",
        "@rog0x/mcp-log-tools"
      ]
    }
  }
}
README1 min read

@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

bash
npm install
npm run build

Usage with Claude Desktop

Add to your claude_desktop_config.json:

json
{
  "mcpServers": {
    "log-tools": {
      "command": "node",
      "args": ["path/to/mcp-log-tools/dist/index.js"]
    }
  }
}

Supported Log Formats

FormatExample
JSON{"timestamp":"2024-01-15T10:30:00Z","level":"ERROR","message":"Connection failed"}
Apache/Nginx127.0.0.1 - frank [10/Oct/2000:13:55:36 -0700] "GET /index.html HTTP/1.1" 200 2326
SyslogJan 1 00:00:00 hostname process[1234]: Something happened
Structured2024-01-15T10:30:00.000Z [ERROR] [ModuleName] Something failed
CustomAny format using a regex with named capture groups

License

MIT

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