Bluefly Insights is part of the Bluefly Collective's experimental LLM (Large Language Model) network, a closed ecosystem of AI-powered tools and services. This module represents one of several interconnected components designed to enhance Drupal's capabilities through advanced AI and machine learning technologies. Bluefly Insights provides intelligent site metrics, recommendations, and MCP-powered analytics to Drupal sites. Easily monitor, optimize, and enhance your site's performance and engagement.

As part of this network, Bluefly Insights benefits from:

Continuous model improvements and updates from the collective's research
Access to specialized LLM models trained on Drupal-specific data
Integration with other Bluefly Collective experimental modules
Early access to new AI capabilities and features
Collaborative development with other collective members

Features

Bluefly Insights brings advanced analytics and recommendation capabilities to Drupal without requiring external services or complex integrations. Once installed, it collects essential site usage data, generates actionable insights, and offers dynamic recommendations to site owners and administrators. Built to be lightweight and fully Drupal-native, it extends Drupal's capabilities with:

Centralized site metrics dashboard with real-time analytics and customizable views
Advanced metric aggregation with statistical analysis (sum, average, median, min, max, percentiles)
Intelligent content recommendations based on multiple factors (completeness, engagement, SEO, quality)
MCP (Model Context Protocol) integration for deeper analytics workflows and model-driven insights
Event-Condition-Action (ECA) integration for automated responses and workflow automation
Configurable data collection policies for privacy compliance and GDPR readiness
Fine-grained permissions for insight visibility and access control
Multisite-compatible architecture with clean separation of concerns
Batch processing capabilities for efficient metric calculations
Time-based analysis with configurable windows (hour, day, week, month)

Experimental Features

As part of the Bluefly Collective's experimental network, this module includes several cutting-edge features:

Advanced LLM-powered content analysis and recommendations
Experimental metric calculation algorithms
Next-generation MCP integration capabilities
AI-driven workflow automation
Predictive analytics and trend detection

This module is ideal for site owners who want actionable information about their content, structure, and user engagement without needing external SaaS analytics tools. Common use cases include:

Editorial optimization and content quality improvement
Site health monitoring and performance tracking
Targeted UX improvements and engagement optimization
Automated content moderation based on metric thresholds
Workflow automation and state transitions
SEO optimization and search visibility enhancement
Content completeness and quality assurance

Post-Installation

After installing Bluefly Insights:

Navigate to Configuration > Bluefly Insights to access the module settings page.
Configure which metrics to track, set thresholds for recommendations, and adjust reporting options.
If MCP integration is enabled, authenticate with your MCP service endpoint (settings available in the same configuration page).
Configure ECA rules to automate responses to metric changes:
- Set up metric-based content moderation rules
- Configure automated workflow transitions
- Define content recommendation triggers
- Set up statistical analysis and trend detection
- Configure batch processing parameters
Grant appropriate permissions to roles who should view reports, manage recommendations, or administer configuration.
View site metrics and recommendations through the Insights Dashboard under the Reports menu.

No new content types are created. Data is stored using Drupal's configuration management and entity APIs, ensuring smooth integration with existing workflows.

Additional Requirements

Drupal 10.1+ or Drupal 11.x (Core compatibility)
Optional: MCP or MCP Client modules for advanced model-driven insights
Optional: ECA module for automated metric-based actions
PHP 8.1 or higher recommended
Membership in the Bluefly Collective for access to experimental features

Recommended modules/libraries

Experience Builder: Enhance presentation and rendering of generated recommendations.
ECA (Event-Condition-Action): Automate reactions to insights with:
- Metric-based content moderation (publish/unpublish, promote/demote, sticky/unsticky)
- Automated workflow transitions with validation
- Intelligent content recommendations (completeness, engagement, SEO, quality)
- Statistical analysis and trend detection (improving, declining, stable, volatile)
- Batch processing of metrics with configurable parameters
- Time-based analysis with multiple window options
- Entity type filtering and targeted actions

Similar projects

While modules like Google Analytics provide external reporting, and Content Analysis offers editorial scoring, Bluefly Insights is differentiated by providing:

On-site analytics without external dependencies
Privacy-conscious data collection and processing
MCP-integrated model-driven insights
Actionable recommendations for content optimization
Advanced ECA integration for automated responses
Statistical analysis with multiple aggregation methods
Time-based analysis with configurable windows
Batch processing for efficient metric calculations
Experimental LLM capabilities through the Bluefly Collective

Supporting this Module

Support Bluefly Insights development through the Bluefly.io website or by sponsoring future feature expansions. Commercial support and consulting for deeper MCP and Drupal integrations are available. To access experimental features and join the Bluefly Collective, visit the Bluefly Collective website.

Community Documentation

Note: This module is part of a closed experimental network. While the module itself is open source, some of its advanced features and MCP integrations require membership in the Bluefly Collective. For more information about joining the collective and accessing the full range of experimental features, visit the Bluefly Collective website.

Bluefly Insights

Issues