anicha.earth MCP Server

Give any AI assistant the power to see Earth from space.

Access Sentinel-2 satellite imagery through the Model Context Protocol. No GIS knowledge required — just latitude, longitude, and a date.

Quick Start (30 seconds)

1. Get a free API key

Sign up at anicha.earth/api — 10 free credits on signup, 3 more every day.

2. Add to Claude Desktop

Open claude_desktop_config.json and add:

{
  "mcpServers": {
    "anicha-earth": {
      "command": "npx",
      "args": ["-y", "anicha-earth-mcp"],
      "env": {
        "ANICHA_API_KEY": "ak_live_your_key_here"
      }
    }
  }
}

3. Ask Claude about any place on Earth

"Show me satellite images of Central Park from last summer"
"Compare the Amazon rainforest between January and July 2025"
"How does the vegetation look on this farm? 48.2°N, 16.4°E"

Tools

| Tool | What it does | Credits | |------|-------------|---------| | get_satellite_dates | List available imagery dates for a location | Free | | get_satellite_preview | Get preview images (true color, false color, EVI) | Free | | enhance_satellite_image | AI super-resolution: 10m → ~1m per pixel | 1 | | check_enhance_status | Poll enhancement job progress | Free | | compare_dates | Side-by-side comparison of two dates | Free | | get_credits | Check your credit balance | Free |

get_satellite_dates

Find available Sentinel-2 satellite imagery for any location on Earth.

Parameters:

• lat (number, required) — Latitude (-90 to 90)
• lon (number, required) — Longitude (-180 to 180)
• year (number, optional) — Filter by year (2015-2030)

Returns: Dates sorted newest-first with cloud cover % and MGRS tile ID.

get_satellite_preview

Generate preview JPEG images for a location and date.

Parameters:

• lat, lon (number, required) — Location
• date (string, required) — Date in YYYY-MM-DD format

Returns: URLs for three image types:

• True color — Natural colors as seen from space
• False color — Vegetation appears bright red (healthy plants reflect near-infrared)
• EVI — Enhanced Vegetation Index heatmap (green = healthy vegetation)

enhance_satellite_image

Submit an AI super-resolution job. Uses a Swin2SR deep learning model to enhance 10m/pixel Sentinel-2 imagery to approximately 1m/pixel. Individual buildings, roads, tree canopies, and field boundaries become visible.

Parameters:

• lat, lon (number, required) — Location
• date (string, required) — Date in YYYY-MM-DD format

Returns: Task ID for polling. Processing takes 30-90 seconds.

check_enhance_status

Poll a super-resolution job for completion.

Parameters:

• task_id (string, required) — From enhance_satellite_image

Returns: Status, progress %, and image URLs when complete.

compare_dates

Fetch previews for two dates in parallel — ideal for change detection.

Parameters:

• lat, lon (number, required) — Location
• date1, date2 (string, required) — Two dates in YYYY-MM-DD format

Returns: Preview URLs for both dates side by side.

get_credits

Check your current credit balance and reset date.

Use Cases

• Agriculture — Monitor crop health with EVI vegetation index, track field changes across seasons
• Urban development — Watch construction progress, track urban sprawl over time
• Environmental monitoring — Detect deforestation, track water levels, monitor coastal erosion
• Disaster assessment — Before/after comparisons of floods, fires, earthquakes
• Education — Explore Earth's surface, teach remote sensing concepts interactively
• Real estate — Verify property surroundings, track neighborhood development

Example Prompts

"Show me the clearest satellite image of my city this year"
"Track construction progress at 48.2°N 16.4°E over the last 6 months"
"Compare Lake Mead water levels between 2020 and 2025"
"Generate a vegetation health report for this farm using EVI"
"Show me before and after images of the recent flooding"
"Find deforestation near Manaus, Brazil between 2023 and 2025"

Environment Variables

| Variable | Required | Description | |----------|----------|-------------| | ANICHA_API_KEY | Yes | Your API key from anicha.earth/api | | ANICHA_BASE_URL | No | Override API URL (default: https://api.anicha.earth) |

Pricing

| | Free | Pro (coming soon) | |---|---|---| | Signup credits | 10 | 500/month | | Daily credits | 3 | — | | Previews & dates | Unlimited | Unlimited | | Rate limit | 30 req/min | 100 req/min |

Development

git clone https://github.com/nicholasgasior/anicha-earth-mcp
cd anicha-earth-mcp
npm install
npm run build
ANICHA_API_KEY=ak_live_... npm start

About

Built by anicha.earth — satellite imagery powered by Sentinel-2 and AI super-resolution.

License

MIT