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Hurricane reconnaissance data — HDOB flight observations, Vortex Data Messages, SFMR, and ATCF fixes
Hurricane reconnaissance data — HDOB flight observations, Vortex Data Messages, SFMR, and ATCF fixes
This is a well-structured oceanographic data server collection with clean code, no authentication requirements, and appropriate network permissions for accessing public NOAA datasets. Minor code quality issues exist around error handling and input validation, but these do not pose significant security risks. Package verification found 1 issue (1 critical, 0 high severity).
4 files analyzed · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-mansurjisan-recon-mcp": {
"args": [
"coops-mcp"
],
"command": "uvx"
}
}
}From the project's GitHub README.
A monorepo of independently installable MCP servers for ocean and coastal data workflows.
| Server | PyPI | Description |
|---|---|---|
| coops-mcp | NOAA CO-OPS tides, water levels, currents, meteorological data | |
| erddap-mcp | Universal ERDDAP data access across 80+ public servers | |
| nhc-mcp | NHC storm tracks, advisories, HURDAT2 best track data | |
| recon-mcp | Hurricane reconnaissance data (HDOB, Vortex Data Messages, ATCF fixes) | |
| stofs-mcp | NOAA STOFS storm surge forecasts and observation validation | |
| ofs-mcp | NOAA OFS regional ocean model forecasts (water level, temperature, salinity) | |
| rtofs-mcp | NOAA RTOFS global ocean forecasts (SST, salinity, currents, SSH) via HYCOM THREDDS | |
| ww3-mcp | GFS-Wave (WAVEWATCH III) forecasts and NDBC buoy wave observations |
No API keys required — all servers use free, publicly available datasets.
# uvx (recommended) — runs without permanent install, like npx for Python
uvx coops-mcp
# pip — install into current environment
pip install coops-mcp
# pipx — install in isolated environment with CLI entry point
pipx install coops-mcp
Replace coops-mcp with any server: erddap-mcp, nhc-mcp, recon-mcp, stofs-mcp, ofs-mcp, rtofs-mcp, ww3-mcp.
git clone https://github.com/mansurjisan/ocean-mcp.git
cd ocean-mcp/servers/coops-mcp # or erddap-mcp, nhc-mcp, recon-mcp, stofs-mcp, ofs-mcp, rtofs-mcp, ww3-mcp
uv sync
Add to your MCP settings (e.g., project .mcp.json):
Using PyPI packages (recommended):
{
"mcpServers": {
"coops": {
"command": "uvx",
"args": ["coops-mcp"]
},
"erddap": {
"command": "uvx",
"args": ["erddap-mcp"]
},
"nhc": {
"command": "uvx",
"args": ["nhc-mcp"]
},
"recon": {
"command": "uvx",
"args": ["recon-mcp"]
},
"stofs": {
"command": "uvx",
"args": ["stofs-mcp"]
},
"ofs": {
"command": "uvx",
"args": ["ofs-mcp"]
},
"rtofs": {
"command": "uvx",
"args": ["rtofs-mcp"]
},
"ww3": {
"command": "uvx",
"args": ["ww3-mcp"]
}
}
}
{
"mcpServers": {
"coops": {
"command": "uv",
"args": ["run", "--directory", "/path/to/ocean-mcp/servers/coops-mcp", "python", "-m", "coops_mcp"]
},
"erddap": {
"command": "uv",
"args": ["run", "--directory", "/path/to/ocean-mcp/servers/erddap-mcp", "python", "-m", "erddap_mcp"]
},
"nhc": {
"command": "uv",
"args": ["run", "--directory", "/path/to/ocean-mcp/servers/nhc-mcp", "python", "-m", "nhc_mcp"]
},
"recon": {
"command": "uv",
"args": ["run", "--directory", "/path/to/ocean-mcp/servers/recon-mcp", "python", "-m", "recon_mcp"]
},
"stofs": {
"command": "uv",
"args": ["run", "--directory", "/path/to/ocean-mcp/servers/stofs-mcp", "python", "-m", "stofs_mcp"]
},
"ofs": {
"command": "uv",
"args": ["run", "--directory", "/path/to/ocean-mcp/servers/ofs-mcp", "python", "-m", "ofs_mcp"]
},
"rtofs": {
"command": "uv",
"args": ["run", "--directory", "/path/to/ocean-mcp/servers/rtofs-mcp", "python", "-m", "rtofs_mcp"]
},
"ww3": {
"command": "uv",
"args": ["run", "--directory", "/path/to/ocean-mcp/servers/ww3-mcp", "python", "-m", "ww3_mcp"]
}
}
}
With servers configured, you can ask your AI assistant naturally:
CO-OPS queries:
ERDDAP queries:
NHC queries:
Recon queries:
STOFS queries:
OFS queries:
RTOFS queries:
WW3 queries:
Cross-server queries:
Each server is fully self-contained with its own pyproject.toml, dependencies, and tests. See docs/architecture.md for details on shared conventions.
Shared patterns across servers:
If you use this project in your research or work, please cite:
@software{jisan2025oceanmcp,
author = {Jisan, Mansur Ali},
title = {Ocean MCP: Real-Time Marine Data, MCP-Native},
year = {2025},
url = {https://github.com/mansurjisan/ocean-mcp},
note = {MCP servers for NOAA CO-OPS, ERDDAP, NHC, Recon, STOFS, OFS, RTOFS, and WW3 data}
}
Licensed under the MIT License. You may use, modify, and distribute this software under the MIT terms. See LICENSE for details.
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