claude-flow
Verified · 3 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
UI feedback for AI-assisted building. Click elements, rate them, agents triage via MCP.
claude mcp add spikes -- npx -y [email protected]
This focuses on collecting UI feedback during AI-assisted product building, letting users click and rate interface elements while agents triage the results. That makes it relevant to design-engineering teams testing human-in-the-loop workflows, though the minimal adoption data points to a young and still unproven collaboration tool.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Draw and visually collaborate with your agents on tldraw's canvas.
Codebase knowledge graph for AI agents — 159 languages, sub-ms queries, 99% fewer tokens.
Official OpenMetadata MCP: governed context and business semantics for AI assistants and agents.
Control real Android and iOS devices with LLM agents — tap, swipe, type, automate flows.
AI Agents Framework with Self Reflection and MCP support