About Coralogix MCP
Coralogix MCP is an MCP server published by neoai-agent in the AI category: 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. It has been installed 0 times through Conduid.
The repository has 11 stars and 2 forks, with the last commit 8 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
Install
npx coralogix-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
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_nameparameter 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_nameparameter 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_nameparameter to filter by specific service
-
get_coralogix_logs_by_string - Search logs for a specific string and return context around matches
- Required
search_stringparameter to search for - Optional
service_nameparameter to filter by specific service - Optional
context_linesparameter (default: 100) to specify context around matches - Returns log entries with surrounding context for better debugging
- Required
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.
README mirrored from the source repository 3 months ago. The original is authoritative.