LogAnalyzer

https://cursor.directory/mcp/loganalyzer-mcp-server

javascript

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javascript

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7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "chiragpatankar-loganalyzer-mcp": {
      "command": "loganalyzer-mcp",
      "args": [],
      "env": {
        "LOG_LEVEL": "info",
        "MAX_FILE_SIZE": "10MB",
        "GEMINI_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

LogAnalyzer MCP Server provides AI-powered log analysis and rapid debugging for DevOps, backend developers, and SRE teams. It exposes an MCP-compatible interface so you can analyze logs, detect errors in real time, and receive actionable fixes with exact commands.

How to use

You use an MCP client to interact with the LogAnalyzer MCP Server. Start by installing the MCP client or using an integrated environment that can run MCP commands. Configure the client to connect to your server, then issue requests to analyze logs, scan for errors, or monitor log files in real time. Typical workflows include running a rapid_debug session to get actionable fixes within seconds, performing a quick_scan to detect errors with millisecond latency, and setting up watch_log_file to automatically surface new issues as they appear.

How to install

Prerequisites: ensure Node.js and npm are installed on your system.

Install the MCP server package globally so you can run the log analyzer from anywhere.

Run the following command to install the MCP server globally.

npm install -g loganalyzer-mcp

Configuration and usage snippet

Configure your MCP client to connect to the LogAnalyzer MCP Server using the provided command and environment variable setup.

{
  "mcpServers": {
    "loganalyzer": {
      "command": "loganalyzer-mcp",
      "env": {
        "GEMINI_API_KEY": "your_gemini_api_key_here"
      }
    }
  }
}

Available tools

rapid_debug

Debug server logs in under 30 seconds with actionable fixes (average ~7.5s)

quick_scan

Ultra-fast error detection for real-time monitoring (sub-second)

analyze_log

Deep AI-powered log analysis with root cause identification (10–15s)

watch_log_file

Monitor log files for new errors in real time

stop_watching

Stop monitoring specific log files instantly

list_watched_files

View all currently monitored files instantly

get_recent_errors

Retrieve recent error analysis and history instantly