Acapulco (Attack Community grAPh COnstruction) is a Splunk application developed by The Honeynet Project that processes honeypot data from hpfeeds channels to generate meta-events for security analysis. The application automatically collects data from multiple hpfeeds channels and creates clustered meta-events using DBSCAN or K-means algorithms. These processed events are then visualized through parallel coordinates graphs built with the D3.js visualization library, providing an external client interface for data analysis. The tool includes a runner.py script that processes hpfeeds log files to create two types of meta-event files: one containing plain features and another with clustered feature values. This clustering approach helps identify patterns and relationships within honeypot data. Installation involves deploying the Splunk application bundle to a central server by extracting it to the splunk/etc/apps directory. Once configured with hpfeeds integration, the application can process honeypot logs and generate the visualization data for security analysis purposes. The software is distributed under the GNU GPL license and is designed to provide insights for cybersecurity professionals analyzing attack patterns and honeypot interactions.