Agro API MCP by usefulapi
Read satellite, NDVI, weather and soil data; create and delete fields in Agro API.
Description from the maker (original English)
EnergyPlus weather files (EPW, DDY, STAT) and design conditions for any site, OpenStudio-MCP ready.
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Pick the AI app you use, then copy the settings.
EPWTOOLS_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Works in Claude on the web, desktop and mobile:
https://epw.tools/api/mcpOpen Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"epwtools": {
"command": "uvx",
"args": [
"epwtools",
"mcp"
],
"env": {
"EPWTOOLS_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add --transport http epwtools https://epw.tools/api/mcpclaude mcp add epwtools --env EPWTOOLS_API_KEY=your-value -- uvx epwtools mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"epwtools": {
"url": "https://epw.tools/api/mcp"
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"epwtools": {
"command": "uvx",
"args": [
"epwtools",
"mcp"
],
"env": {
"EPWTOOLS_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"epwtools": {
"type": "http",
"url": "https://epw.tools/api/mcp"
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"epwtools": {
"type": "stdio",
"command": "uvx",
"args": [
"epwtools",
"mcp"
],
"env": {
"EPWTOOLS_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://epw.tools/api/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.
get_nearest_stationsNearest weather stations to a point (name, WMO id, distance, years of record). Free, no key.
get_design_conditionsHeating and cooling design conditions for any site, free, in one of two modes that are never mixed. mode="ashrae_method": the ASHRAE Handbook Ch. 14 method replicated at the nearest ASHRAE station for the chosen edition (2025, 2021, 2017, 2013, 2009, 2005); validated about 0.25 d
list_cmip6_modelsThe models available for future-climate morphing: `models` are global CMIP6 models (NASA NEX-GDDP, 25 km); `regional` are EURO-CORDEX pairs (12.5 km, Europe only, 27-72 N / 25 W-45 E) usable as `model` ids. Free.
analyze_epwSummary statistics of any public EPW by URL (OneBuilding, EnergyPlus, a shared file): location header, dry-bulb mean/min/max, annual global horizontal irradiation, data range warnings. Free, no key. 10 MB max.
generate_epwStart an actual-year (AMY) EPW + DDY + STAT for any point, 1990 to last year. 1 credit; +2 with urban_street_level (53 US cities: hourly street-level air temperature from citizen stations). Returns a job_id; poll with get_job_result.
generate_tmyStart a typical meteorological year from a chosen period (at least 5 years; 10-20 is usual). 1 credit.
generate_future_climateStart a CMIP6-morphed future EPW (Belcher 2005). scenario: ssp126, ssp245, ssp370, ssp585; horizon: any decade 2030-2100; model from list_cmip6_models. 3 credits.
generate_forecastStart a forecast EPW for the next 1-15 days (operational sims, MPC, demand response). Up to 7 days free.
get_job_resultStatus of a job started by a generate_* tool; when complete, the download URLs (they carry the key).
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account carlobianchi89, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 283 ms (HTTP 200)
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Read 9 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: EPWTOOLS_API_KEY
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (0.5.3) reached the registry 4 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Agro API MCP by usefulapi, FieldClimate MCP by usefulapi, Park Graph
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Read satellite, NDVI, weather and soil data; create and delete fields in Agro API.
Read weather station data, sensors, farms, fields and crop zones in FieldClimate.
Find, price and book parking at Park Graph lots: search, quote, hold and session tools.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Python client, command-line tool and MCP server for [EPW.tools](https://epw.tools): EnergyPlus weather files (EPW, with DDY design days and STAT summaries) for any location on Earth.
The weather data are built and validated by EPW.tools (methodology, validation); this package is the open-source way to call them from Python, the terminal or an AI assistant.
pip install epwtools # client + CLI
pip install 'epwtools[mcp]' # + MCP server for AI assistants
Get a free API key at epw.tools (API tab); the first files are free.
export EPWTOOLS_API_KEY=your-key
from epwtools import EPWClient
client = EPWClient() # reads EPWTOOLS_API_KEY
epw = client.generate(lat=39.74, lon=-104.99, year=2023, name="Denver", out_dir="weather")
tmy = client.tmy(lat=45.46, lon=9.19, start=2005, end=2024, name="Milan", out_dir="weather")
dc = client.design_conditions(lat=51.51, lon=-0.13)
epwtools configure # store your key
epwtools generate --lat 39.74 --lon -104.99 --year 2023 --name Denver epwtools tmy --lat 45.46 --lon 9.19 --start 2005 --end 2024 --name Milan epwtools future --lat 40.71 --lon -74.01 --scenario ssp245 --horizon 2050 --name NYC epwtools --help
Let Claude, ChatGPT and other MCP-capable assistants make weather files for you:
uvx --from 'epwtools[mcp]' epw-tools-mcp
or use the hosted server, listed in the official MCP Registry. Tools include generate_epw, generate_tmy, generate_future_climate, generate_forecast, get_design_conditions and get_nearest_stations. Setup guide: epw.tools/ai-weather-files.
EPW to CSV / Excel converter · Manual J design temperatures by address · Construction weather days · Data-centre site climate · API licence for software vendors
The client, CLI and MCP server in this repository are MIT-licensed. Use of the EPW.tools service and its data is governed by the EPW.tools terms of service (linked in the footer of epw.tools).