Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Coralogix MCP Server Show me 5xx errors from the payment service"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A command-line tool for monitoring and analyzing Coralogix logs using MCP (Model Control Protocol).
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.gitRelated MCP server: MCP Server for Coroot
Run the server with your credentials:
coralogix-mcp --coralogix-api-key "YOUR_CORALOGIX_API_KEY" \
--openai-api-key "YOUR_OPENAI_API_KEY"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 --helpFor 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]"MIT License - See LICENSE file for details.
This server cannot be deployed
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