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Coralogix MCP

A powerful command-line tool for monitoring and analyzing Coralogix logs using Model Control Protocol (MCP). Streamline your log analysis workflow with AI-powered insights, real-time error tracking, and intelligent log context extraction.

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Installation

npx coralogix-mcp

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Coralogix MCP Server

A command-line tool for monitoring and analyzing Coralogix logs using MCP (Model Control Protocol).

Installation

Install directly from GitHub using pipx:

# Install
pipx install git+https://github.com/neoai-agent/coralogix-mcp.git

# Or run without installation
pipx run git+https://github.com/neoai-agent/coralogix-mcp.git

Quick Start

Run the server with your credentials:

coralogix-mcp --coralogix-api-key "YOUR_CORALOGIX_API_KEY" \
              --openai-api-key "YOUR_OPENAI_API_KEY"

Available Tools

The coralogix-mcp package provides the following MCP tools for interacting with Coralogix logs:

get_2xx_logs - Analyze 2XX success logs from Coralogix with API endpoint statistics
- Returns API analysis showing top endpoints with request counts
- Optional service_name parameter to filter by specific service
get_4xx_logs - Analyze 4XX client error logs from Coralogix
- Returns API analysis with endpoint statistics
- Includes recent error details from the last 2 minutes
- Shows total error count
- Optional service_name parameter to filter by specific service
get_5xx_logs - Analyze 5XX server error logs from Coralogix
- Returns API analysis with endpoint statistics
- Includes recent error details from the last 2 minutes
- Shows total error count
- Optional service_name parameter to filter by specific service
get_coralogix_logs_by_string - Search logs for a specific string and return context around matches
- Required search_string parameter to search for
- Optional service_name parameter to filter by specific service
- Optional context_lines parameter (default: 100) to specify context around matches
- Returns log entries with surrounding context for better debugging

All tools automatically handle:

Service name matching and validation
Time range filtering (default: last 15 minutes)
Error handling and logging
JSON response formatting

For more details, run:

coralogix-mcp --help

Development

For development setup using a virtual environment:

# Clone the repository
git clone https://github.com/neoai-agent/coralogix-mcp.git
cd coralogix-mcp

# Set up virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install development dependencies
pip install -e ".[dev]"

License

MIT License - See LICENSE file for details.