stevensu04/eco-router-mcp

An MCP server that helps AI agents pick the
lowest-carbon cloud region for a workload.
The same GPU job can emit several times more CO₂ depending on which grid powers
the datacenter. Eco Router maps AWS, Google Cloud and Azure regions to the
electricity grids they draw from, so an agent can ask:
> "Where should I run this training job? Data must stay in the EU and latency
> should be under 150 ms."
and get back a ranked shortlist with the reasoning behind it.
Carbon figures are location-based grid averages. They describe the grid that
supplies each region, not the renewable energy a provider buys, so regions in
the same grid get the same value. See what the numbers represent.
> Status: early release (v0.1). Corrections and feedback are welcome in
> issues. See
> Roadmap.
## Install
Requires Node.js 22 or later.
Claude Code
bash
claude mcp add eco-router -- npx -y eco-router-mcp
Claude Desktop (claudedesktopconfig.json)
json
"mcpServers": {
"eco-router": {
"command": "npx",
"args": ["-y", "eco-router-mcp"],
"env": { "ELECTRICITYMAPSAPITOKEN": "optional" }
### Live grid data (optional)
Out of the box, Eco Router uses annual averages (per grid in the US, per
province in Canada, per country elsewhere), so it works with no setup. For hourly, grid-level data, set ELECTRICITYMAPSAPITOKEN to your
own Electricity Maps API token. Zones your
plan does not cover fall back to the annual average automatically.
Your use of live data is governed by your own Electricity Maps plan and its
terms.
At the time of writing, Electricity Maps offers free access for academic and
personal non-commercial use, and a 14-day trial for commercial evaluation.
Commercial use requires a paid license. Eco Router does not provide or share
any token.
## Tools
| Tool | What it does |
| rankregions | Ranks regions by grid carbon intensity, optionally balanced against estimated latency from an origin. Supports providers, countries, maxLatencyMs, maxCarbonIntensity, carbonWeight, energyKwh and limit. |
| findcleanwindow | For flexible batch jobs, finds the start time in the next 72 hours with the lowest forecast carbon intensity in each grid zone, and the savings compared with starting now. Requires ELECTRICITYMAPSAPITOKEN with forecast access. |
| listregions | Lists cloud regions and the grid zone each one draws power from. Filter by provider (aws, gcp, azure) or country. |
countries accepts ISO 3166-1 alpha-2 codes and the groups EU and EEA.
Example request to rankregions:
json
"countries": ["EU"],
"origin": { "lat": 50.11, "lon": 8.68 },
"maxLatencyMs": 40,
"energyKwh": 500
Example request to findcleanwindow for a 6-hour job that must finish within
two days:
json
"countries": ["DE", "FR", "SE"],
"durationHours": 6,
"withinHours": 48,
"energyKwh": 500,
"timezone": "Australia/Brisbane"
Scoring, data sources and their limits are explained in
docs/methodology.md.
How regions are mapped to grids, and which mappings rest on assumptions, is
documented in docs/regions.md.
## Roadmap
[x] MCP server skeleton over stdio
[x] Full AWS, Google Cloud and Azure region dataset with sources