claude-flow
Verified · 24 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Water and energy footprint of AI use: chat prompts, agent sessions, methodology and sources.
claude mcp add --transport http ai-footprint https://prompt-tightener-production.up.railway.app/mcp
Estimates water and energy footprint for AI usage, including chat prompts and agent sessions, with methodology and sources exposed. It fits teams or individuals trying to add environmental-impact context to AI workflows, though the absence of adoption metrics means its assumptions and calculations should be reviewed carefully.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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