Ask about any company's emissions, transition risk, physical hazard exposure, or temperature alignment and get a structured, methodology-backed answer in seconds.

Emmi's MCP uses the Model Context Protocol (MCP) to wire climate data directly into the AI tools you already use.
Add Emmi's MCP to any MCP-compatible AI tool, including Claude, in under two minutes. No API keys to manage, no platform to learn.
Query any company by name. Ask about Scope 1/2/3 emissions, transition risk under Net Zero 2050, physical hazard scores, forecast trajectories, or reduction targets.
Get structured, PCAF-aligned data back in context. Use it in your analysis, your report, your investor questionnaire, or your next question.
Every card below was generated from a single natural-language query to the Emmi MCP.
Scope 1+2 fell 32% since 2015 — a genuine decline. But Scope 3, where 97% of emissions sit, has flatlined at ~378 Mt for a decade. No formal targets returned.

Rio Tinto leads at 575 Mt, followed by BHP and Fortescue. All are iron ore producers — Scope 3 is 95–99% of total. None have set Scope 3 targets.

No formal Scope 3 reduction targets were returned for any of the five companies. The largest emitters in Australian mining have not set quantified targets where 95%+ of emissions sit.

No. The forecast model projects TotalEnergies' Scope 3 increasing from 415 Mt to 465 Mt by 2030. It is the only one of the three oil majors with a rising trajectory.

Every number returned by Emmi MCP is backed by Emmi's published, auditable methodology — PCAF-aligned, NGFS/IPCC scenario-based, and reproducible. You are not getting black-box analysis. While your analysis might get creative, the foundational data returned is not.
Screen holdings for transition risk, physical hazard exposure, and temperature alignment under multiple scenarios. Build auditable, source-traceable risk views.
Pull comparable Scope 1/2/3 data, WACI, PCAF scores, and target credibility assessments across sector peers for client-facing research notes.
Get carbon cost impact, stranded-asset risk, and decarbonisation potential as inputs to fundamental valuation models. Fast, pre-processed, sector-contextualised.
Access structured emissions data, YoY trends, reported-vs-modelled flags, and PCAF scores for factor construction and quantitative climate risk models.
Benchmark clients against peers for TCFD, ISSB, CSRD, and AASB S2 disclosures. Identify target gaps and build defensible scenario analyses for boards.
Run climate due diligence on acquisition targets. Assess carbon liabilities, physical risk exposure, and transition readiness against comparable transactions.