mcp · Global

stardust

Project Stardust: open-source middleware, subscriber client, and providers service

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Data offered docs-verified: AI/cloud usage events (tokens, queries) · electricity use per event · CO₂e per event · water use per event · cost per event (litellm pricing) · indicator code (e.g. B2-M) with job ID · residual-emissions quotes from carbon-removal providers
Coverage llm-inferred: Global
Formats docs-verified: REST · gRPC · MCP
Access docs-verified: Free and open source under Apache-2.0; no auth per ENTRY metadata (auth: null)

Use cases llm-inferred: Estimating electricity, CO₂e and water footprint of a consultancy's AI tool usage for ESG reporting · Metering cloud workload emissions for a consultancy's own net-zero or carbon accounting · Scoping residual emissions for carbon-removal procurement quotes
Audience llm-inferred: sustainability and ESG consultants · IT and cloud platform teams · consultancy operations and carbon reporting staff

Constraints docs-verified: v0.1 scaffold; Phase 1 foundation only · Methodology factors are a draft, with some placeholders awaiting review · Browser extension figures are estimates · Not a source of UK water, hydrology, civils or environmental datasets; the tool meters AI/cloud usage

Auto-extracted, unverified fields: tools, auth. Check upstream documentation.

Daily discovery 2026-10-17: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-17 (github-search)

Browse: Ecology