claude-flow
Verified · 2 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Track AI agent costs, detect waste, optimize models, and prove ROI. 23 MCP tools across 10 domains.
claude mcp add mcp-server -- npx -y @metrxbot/[email protected]
This server is positioned around AI cost tracking, waste detection, model optimization, and ROI reporting, with a relatively broad tool surface. It is for teams managing multiple agent or model workflows who want operational visibility rather than end-user chat features. The problem area is relevant, but the ambitious scope compared with its low adoption means claims should be tested carefully before relying on it.
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