Connect your AI agent to 8,400+ emission factors from 4 databases with hybrid keyword + embedding matching.
Every feature designed to get you the most accurate emission factor for your specific use case.
Combines keyword scoring (0.3) with embedding-based semantic similarity (0.7) for precise factor matching. No manual database browsing needed.
ELCD, US LCI, USDA LCA Commons & ecoinvent 3.10. Covers electricity, fuels, transport, chemicals, metals, construction, agriculture, and more.
When an exact factor isn't available, the system suggests chemically similar alternatives and category-level fallbacks with full transparency.
Standard Model Context Protocol server. Works with Claude Desktop, Cursor, and any MCP-compatible AI agent. One command to install, zero config to start.
Three steps from installation to precise emission factor matching.
Add the MCP server to your AI agent configuration
Describe your activity in natural language — “10kV industrial electricity in Guangdong”
Get ranked emission factors with hybrid keyword + embedding scores
One configuration block. Works with any MCP-compatible client.
Start free. Upgrade when you need more factors and precision.
Upon successful payment, your Pro License Key will be delivered immediately to your email address provided at checkout.