347 boosters for "base" — open source, verified from GitHub, ready to install
Heuristic scoring (no AI key configured).
"name": "forgemesh-imagegen", "mcpName": "io.github.forgemeshlabs/imagegen-mcp", "description": "MCP server for AI image generation — generate, clean (bg removal), HD (4x upscale), Pro. Pay per image in USDC via x402 on Base. No API key needed.",
A production-grade engineering knowledge base that guides AI assistants through a 5-step cognitive protocol to prevent silent failures in AI-generated code. Developers using AI coding tools benefit from structured thinking patterns, architectural best practices, and systemic design considerations.
Shane is a backend developer agent specialized in APIs, databases, and business logic implementation, with deep expertise in DirectoryBolt's Next.js/Supabase architecture for payment processing and customer management.
Clem is a full-stack developer agent that helps you implement, maintain, and optimize both backend and frontend systems—from API endpoints and database optimization to React components and authentication. Perfect for developers tackling end-to-end feature development, refactoring, or architectural decisions.
"name": "ableton-mind", "mcpName": "io.github.Pantani/ableton-mind", "description": "Definitive MCP server for Ableton Live: complete LOM coverage, embedded knowledge base and music recipes.",
This skill automates DEVONthink document management on macOS through JXA and Python, enabling users to programmatically organize, search, convert, and manage records while integrating with citation systems like Zotero. It's ideal for researchers, academics, and knowledge workers who need to automate complex document workflows.
Orchestrates multi-agent systems with distributed consensus, fault tolerance, and emergent behavior patterns. Ideal for developers building collaborative AI systems, decentralized applications, and complex distributed coordination workflows.
Clive is a critical incident response agent designed to rapidly diagnose and resolve database failures, integration breakdowns, and revenue-impacting emergencies for AI business intelligence platforms. It helps platform operators and incident response teams quickly identify and address mission-critical system failures.
