Provides ML-powered revenue intelligence for sales and customer success teams, enabling lead scoring, churn risk detection, and conversion predictions with explainable feature attribution and production monitoring capabilities.
An MCP server that provides comprehensive market intelligence by analyzing data from both the Apple App Store and Google Play Store, enabling users to research apps, track market trends, study competitors, and understand user feedback across mobile marketplaces.
Hey @roocode community!
I'm thrilled to share a project born from my work with Roocode and the vision of an AI-powered development team: the Anubis MCP Server!
This system is heavily inspired by Roocode and designed to orchestrate an AI development workflow based on agile methodology. It simulates
MCP server that enables intelligent analysis of legal spend data across multiple sources (LegalTracker, databases, CSV/Excel files), providing features like spend summaries, vendor performance analysis, and budget comparisons.
Generates tailored system architecture recommendations based on business parameters like QPS, concurrent users, database type, and AI model size, providing resource allocation plans, middleware suggestions, and exportable architecture diagrams.