Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Keyless US grid carbon + power cost by ZIP: eGRID Scope 2, Scope 1 fuels, site ranking, clean hours
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://emission-factors.com/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http emission-factors https://emission-factors.com/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"emission-factors": {
"url": "https://emission-factors.com/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"emission-factors": {
"type": "http",
"url": "https://emission-factors.com/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://emission-factors.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 7일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
lookup_emission_factorLook up EPA eGRID electricity emission factors for a US ZIP code. Returns CO2e (kg/kWh and lb/MWh), CO2, CH4, N2O, NOx, SO2, non-baseload rate, carbon-free %, generation mix (coal/gas/nuclear/hydro/wind/solar etc.), eGRID subregion code, the data year, and the Green-e residual mi
lookup_by_coordinatesLook up emission factors by latitude/longitude. Uses US Census Geocoder to resolve to ZIP first, then returns the same data as lookup_emission_factor. Useful when you have a facility address or lat/lon but no ZIP.
lookup_batchLook up emission factors for up to 100 ZIP codes in one call (split longer lists). Returns one compact row per ZIP - subregion, CO2e kg/kWh (location-based), residual mix (market-based), carbon-free %, utility - unless full is true, which returns every field (about 2 KB per ZIP).
calculate_emissionsCalculate Scope 2 CO2e for a facility from its ZIP and kWh, using both GHG Protocol methods: location-based (eGRID subregion rate) and market-based (Green-e residual mix applied to kWh not covered by RECs, PPAs or green tariffs). Returns kg CO2e for each method with the factors u
hourly_intensityGet hourly grid carbon intensity (kg CO2e per kWh) for any US ZIP code, derived from EIA-930 hourly fuel-mix data. Data lags up to about a day (not real-time). Returns time series with per-hour fuel mix, total generation, and carbon intensity. For timing and analysis (demand resp
plant_emissionsGet emissions from EPA Clean Air Markets Division (CAMD) for a specific US power plant or a state: fossil units over 25 MW reporting to the Acid Rain Program and CSAPR. Per facility returns total CO2 (short tons), gross generation (MWh), heat input (mmBtu), NOx and SO2 (lb), prim
utility_tariffGet the actual utility-specific electricity rate (not state average) for a US ZIP code or named utility. Returns the current default tariff with effective rate ($/kWh), fixed monthly charge, tier count, TOU indicator, and effective date. Data source: OpenEI URDB (NREL-hosted). Wi
electricity_rateGet the latest monthly average retail electricity rate ($/kWh and cents/kWh) for any US ZIP code, broken out by sector (residential, commercial, industrial, etc.). Data is state-level from EIA Form 861 - a ballpark, not utility- or ZIP-specific tariffs (use utility_tariff for tho
compare_sitesCompare and rank 2-25 candidate US sites (ZIP codes) for a facility, data center or EV/flexible load on grid carbon and electricity cost in one call. Per site: eGRID CO2e kg/kWh (location-based), Green-e residual mix (market-based), carbon-free %, $/kWh for the sector (the state'
cleanest_hoursFind the cleanest (lowest grid carbon) contiguous window of N hours in the day to run a flexible load (batch jobs, EV charging, pumping, HVAC pre-cooling) at a US ZIP code or balancing authority. Based on the hour-of-day pattern of the last 7 days (168 hours) of EIA-930 data, in
calculate_fuel_emissionsCalculate Scope 1 stationary-combustion emissions (CO2, CH4, N2O and CO2e) for fuels burned on site, using the GHG Emission Factors Hub 2026 (Cornerstone, successor to EPA's Hub; IPCC AR6 GWPs) by default, or EPA's 2025 edition (AR5) with edition=2025. Pass one or more items with
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 9일 점검
레지스트리 이름이 GitHub 계정 rozetyp 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
291ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 11개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.8.0)은 21일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Systemdox
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Your architecture in your agents' context: checks, specs, ADRs and docs over MCP, at write time.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Give Claude, Cursor, Cline, or any MCP client live access to US electricity data by ZIP code - grid-carbon emission factors, retail rates, hourly grid carbon intensity, power-plant emissions, and utility tariffs.
Backed by emission-factors.com, which wraps EPA eGRID, EIA-861, EIA-930, EPA CAMD, and OpenEI URDB into one ZIP-keyed API.
Free. No API key, no signup. The API is rate-limited per IP (2,000 requests/hour).
Once connected, your agent can answer things like:
There are two ways to run this. Most people want Option A.
Nothing to install, always up to date. The hosted endpoint is https://emission-factors.com/mcp (Streamable HTTP, no key).
Claude (web, desktop app, mobile) - Add to Claude. The link opens Claude's custom-connector dialog with the name and URL filled in; select Add, then Connect. By hand: Customize -> Connectors -> Add custom connector, URL https://emission-factors.com/mcp, OAuth fields empty.
Claude Code
claude mcp add --transport http emission-factors https://emission-factors.com/mcp
Cursor - add to ~/.cursor/mcp.json:
{
"mcpServers": { "emission-factors": { "url": "https://emission-factors.com/mcp" } } }
Cline / Continue / Zed / other clients - add a remote (Streamable HTTP) MCP server with URL https://emission-factors.com/mcp. No key needed.
Claude Desktop's
claude_desktop_config.jsononly starts local (stdio) servers - a"url"entry there does nothing. Use the connector link above, or Option B.
Runs the server as a local process that proxies the same public API. Useful for clients that only support stdio transport, or if you want to self-host.
Run straight from GitHub (builds on install, requires Node 18+):
{
"mcpServers": { "emission-factors": { "command": "npx", "args": ["-y", "github:rozetyp/emission-factors-mcp"] } } }
Or clone and run from source:
git clone https://github.com/rozetyp/emission-factors-mcp.git
cd emission-factors-mcp npm install # builds dist/ via the prepare script
{
"mcpServers": { "emission-factors": { "command": "node", "args": ["/absolute/path/to/emission-factors-mcp/dist/index.js"] } } }
Optional environment variable: EMISSION_FACTORS_API_BASE (defaults to https://emission-factors.com) if you run your own instance of the API.
Eleven tools, keyed by US ZIP code (or a direct code where noted). The remote server and this stdio build expose the same set.
| Tool | Purpose | Key inputs |
|---|---|---|
lookup_emission_factor | EPA eGRID CO2e + full generation mix for a ZIP | zip |
lookup_by_coordinates | Same, resolved from lat/lon via Census geocoder | lat, lon |
lookup_batch | Emission factors for up to 100 ZIPs at once | zips[] |
calculate_emissions | Scope 2 CO2e for a ZIP + kWh, location-based and market-based (Green-e residual mix) | zip, kwh, renewable_kwh |
hourly_intensity | Hourly grid carbon intensity (EIA-930, ~24h lag) | zip or ba, hours |
plant_emissions | Plant emissions (EPA CAMD): facility summaries or unit-hour records | facility_id or state, days |
utility_tariff | Utility-specific tariff, not state average (OpenEI URDB) | zip, utility, or eiaid |
electricity_rate | State-average retail rate by sector (EIA-861) | zip |
compare_sites | Rank 2-25 candidate sites on grid carbon, $/kWh and cleanest daily window | zips[], annual_kwh, sector |
cleanest_hours | Cleanest N-hour window of the day to run a flexible load, in local time | zip or ba, duration |
calculate_fuel_emissions | Scope 1 CO2e for fuels burned on site (EPA GHG Emission Factors Hub) | items[]: fuel, quantity, unit |
All tools return JSON. See full API docs for exact response shapes.
| Data | Source | Notes |
|---|---|---|
| Grid emission factors | EPA eGRID2023 Rev2 (+ eGRID2024 from Cornerstone via year=2024) | Annual, location-based, 27 subregions |
| Residual mix (market-based Scope 2) | Green-e Residual Mix 2025 (2023 data) | Per eGRID subregion |
| Fuel combustion factors (Scope 1) | GHG Emission Factors Hub 2026 (Cornerstone, successor to EPA's Hub); EPA 2025 via edition | 63 fuels, AR6 GWPs (AR5 for 2025) |
| Retail electricity rates | EIA Form 861 | State-level monthly average by sector |
| Hourly grid carbon intensity | EIA-930 | Derived from hourly fuel mix, ~24h lag |
| Plant-level emissions | EPA CAMD | fossil units >25 MW, published quarterly (45+ days after quarter end) |
| Utility-specific tariffs | OpenEI URDB (NREL) | ZIP matched to its utility by EIA ID |
| ZIP / lat-lon resolution | US Census (ZCTA + Geocoder) | ZIP -> eGRID subregion mapping |
retryAfter hint.curl "https://emission-factors.com/api/lookup?zip=94105". See the API docs and OpenAPI spec.npm install # install deps and build (prepare -> tsc)
npm run build # compile TypeScript to dist/ npm run dev # watch mode npm start # run the built server over stdio
Quick smoke test with the MCP Inspector:
npx @modelcontextprotocol/inspector node dist/index.js
The server is a thin proxy: each tool maps to one /api/* endpoint on emission-factors.com, validates inputs, and returns the JSON response. There is no local state and no key handling.
MIT - see LICENSE. Data belongs to its respective US government sources (EPA, EIA, Census) and NREL/OpenEI; this project and the API are an unofficial wrapper, not affiliated with those agencies.