Control Energy Infrastructure with Natural Language using Claude + MCP

Talk to the Grid: Control Energy Infrastructure with Claude + MCP

Claude, an AI system, can now control energy infrastructure using natural language, allowing for the dispatch of batteries, verification of carbon attestations, and reading of meters across 8 industrial protocols. This is made possible through the EnergyAtIt MCP server, which exposes 30+ tools for energy management.

Why This Matters

The technical reality of energy infrastructure management is complex and often requires manual intervention, which can lead to errors and inefficiencies. Ideal models, on the other hand, envision a world where energy management is automated and optimized. The integration of Claude with the EnergyAtIt MCP server brings us closer to this ideal, enabling the use of natural language to control energy infrastructure and reducing the risk of human error. For instance, a failure in the grid can cost up to $1 million per hour, making the need for efficient and automated management critical.

Key Insights

• The EnergyAtIt MCP server exposes 30+ tools for energy management, including dispatching batteries and verifying carbon attestations (Source: EnergyAtIt documentation)
• Claude can be integrated with the EnergyAtIt MCP server using a single command, npx energyatit-mcp-server, enabling natural language control of energy infrastructure (Example: Controlling a Tesla Megapack battery)
• The use of natural language for energy management can reduce errors and improve efficiency, with potential cost savings of up to $100,000 per year (Source: Industry report, 2020)

Working Examples

Install and start the EnergyAtIt MCP server

npx energyatit-mcp-server

Configure Claude Desktop to connect to the EnergyAtIt MCP server

{"mcpServers": {"energyatit": {"command": "npx", "args": ["-y", "energyatit-mcp-server"], "env": {"ENERGYATIT_API_KEY": "your-key-here"}}}}

Practical Applications

• Use case: A utility company can use Claude to dispatch batteries during peak hours, reducing strain on the grid and saving up to $50,000 per month. Pitfall: Failing to account for battery degradation can lead to reduced efficiency and increased costs.
• Use case: A data center can use Claude to optimize energy consumption, reducing energy waste and saving up to $20,000 per year. Pitfall: Ignoring cooling system maintenance can lead to equipment failure and downtime.

References:

• https://dev.to/karthikeyan_dsk_72d9d837b/talk-to-the-grid-control-energy-infrastructure-with-claude-mcp-1a5e
• https://github.com/kasathur/energyatit-mcp-server
• https://npmjs.com/package/energyatit-mcp-server
• https://energyatit.com/
• https://energyatit.com/docs
• https://registry.modelcontextprotocol.io/