Climate Peer Comparison
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Climate Peer ComparisonCreate a peer comparison report for the Oil & Gas sector in Europe"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Climate Peer Comparison
A Claude Skill that generates a peer comparison report — emissions trends, reduction targets, and the gap between pledges and reported actuals — for companies in a given SICS sector/sub-sector, using live data from the Climate Data Utility (CDU).
Setup
pip install -r requirements.txt
playwright install chromiumCreate .env in the project root:
CDU_BEARER_TOKEN=your_cdu_api_key_here
ANTHROPIC_API_KEY=your_anthropic_key_here(CDU_BEARER_TOKEN is a plain API key sent as X-API-Key, not a Bearer JWT — the name
is kept for backward compatibility with the original spec.)
Related MCP server: genome-map
Two Modes
Synthetic — demo data, safe to share externally:
python execution/climate_peer_comparison/main.py --sector "Oil & Gas" --syntheticNo CDU API calls. Fixed-seed fake data. This is the only mode safe to publish outside the project (LinkedIn, screenshots, etc.) — see Terms of Service below.
Live — real CDU data, via MCP server:
python execution/climate_peer_comparison/mcp_server.pyRegister this with an MCP-compatible client (e.g. Claude Desktop) and invoke the
generate_climate_report tool from a conversation. The tool asks for sector,
sub-sector, and region conversationally rather than requiring them as arguments — see
directives/climate_peer_comparison.md for the full invocation flow.
You can also exercise the live pipeline directly from the CLI (useful for testing without an MCP client):
python execution/climate_peer_comparison/main.py --sector "Oil & Gas" --sub-sector "Oil & Gas" --region EuropeValid sub-sector values are in execution/climate_peer_comparison/config/sics_taxonomy.json
(rebuild it with python -m execution.climate_peer_comparison.cdu.discover_taxonomy if
CDU adds new ones). Valid regions: Europe, North America, APAC, All.
Output
A .pdf in .tmp/reports/, plus a .json metadata sidecar. 10 sections:
Cover
Executive Summary (LLM-generated, grounded only in pre-computed metrics)
Sector Snapshot
Emissions Ranking
Targets Analysis
Promise vs. Reality
Restatements Log
Transparency & Coverage
Companies Excluded from Peer Report (with the specific reason for each)
Methodology & Data Notes
.tmp/ is gitignored — everything in it is regenerable, never a deliverable.
CDU Terms of Service
CDU data must not be published externally. Use --synthetic for demos, screenshots,
and social media sharing.
Tests
python -m pytest execution/climate_peer_comparison/tests/ -vKnown Limitations
See "Known Limitations" in docs/superpowers/plans/2026-05-21-climate-peer-comparison.md
— covers near-duplicate company entries, restatement checking, target data gaps, and
region-filtering assumptions for live CDU data.
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