MCP.Market

NOAA GOES Satellite Imagery MCP Server

by oceanmodeling·io.github.oceanmodeling/goes-mcp·v0.1.3·9 stars

GOES-18/19 satellite imagery — visible, infrared, water vapor, and composites via NOAA

A94/100grade A
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Safety scan
A94/100

full report

Adoption
Growing

9 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

NOAA GOES Satellite Imagery MCP Server tools (6)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • goes_get_available_times

    Get available image timestamps for a GOES product.

  • goes_get_current_view

    Quick overview of what GOES satellite imagery is available now.

  • goes_get_image

    Get a GOES satellite image for a specific timestamp.

  • goes_get_latest_image

    Get the most recent GOES satellite image.

  • goes_get_sector_image

    Get latest GOES imagery for a regional sector.

  • goes_list_products

    List all available GOES satellite imagery products.

Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

no findings
  • Code scan11 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 94/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How NOAA GOES Satellite Imagery MCP Server compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
94/100
higher than 96% of 48,255 servers
Tools
6
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
9
more than 87% of 28,688 servers

What its tools let an agent do: 6 read

Install NOAA GOES Satellite Imagery MCP Server in Claude Code, Cursor or VS Code

claude mcp add goes-mcp -- uvx goes-mcp
Add to Cursor

What the publisher says

From the NOAA GOES Satellite Imagery MCP Server repository's README, as published. We do not edit it. Read it on GitHub

OceanMCP

A monorepo of independently installable MCP servers for ocean and coastal data workflows.

Servers

No API keys required for the data servers — all servers above use free, publicly available datasets. The exceptions are hpc-system-mcp and ufs-runner-mcp (below), which require actual NOAA RDHPCS cluster access and, in ufs-runner-mcp's case, submit real Slurm jobs.

Additional servers live in this repo but are not yet published to PyPI (install from source): vdatum-mcp (vertical datum conversion), hpc-system-mcp and ufs-runner-mcp (NOAA RDHPCS / UFS-Coastal HPC workflows — require cluster access), and alert-mcp (CO-OPS threshold alerting).

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

NOAA GOES Satellite Imagery MCP Server: common questions

Is NOAA GOES Satellite Imagery MCP Server safe?
Yes, by our scan: it is graded A (94/100). Read the NOAA GOES Satellite Imagery MCP Server safety report
How do I install NOAA GOES Satellite Imagery MCP Server?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does NOAA GOES Satellite Imagery MCP Server need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is NOAA GOES Satellite Imagery MCP Server maintained?
The last commit was 34 days ago (2026-10-01). The latest release is v0.1.3.
How does NOAA GOES Satellite Imagery MCP Server compare with other MCP servers?
safety score 94/100 (higher than 96% of 48,255 servers); tools 6 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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