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io.github.rog0x/log

Official registry AI and agents

Log parse, filter, analyze for AI agents

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @rog0x/mcp-log-tools
Claude Code 
claude mcp add log -- npx -y @rog0x/mcp-log-tools@1.0.2
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "log": {
            "command": "npx",
            "args": [
                "-y",
                "@rog0x/mcp-log-tools@1.0.2"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. @rog0x/mcp-log-tools
  2. Tools
  3. Setup
  4. Usage with Claude Desktop
  5. Supported Log Formats
  6. License

@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

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

Frequently asked questions

What is io.github.rog0x/log?

Log parse, filter, analyze for AI agents

How do I install io.github.rog0x/log?

It runs on your machine. In Claude Code: claude mcp add log -- npx -y @rog0x/mcp-log-tools@1.0.2. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.rog0x/log need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.rog0x/log open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains io.github.rog0x/log?

It is published by rog0x. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.