NOAA STOFS MCP Server

io.github.mansurjisan由 GitHub 帳號 mansurjisan 發布v0.1.0更新於 Oct 24, 2026

NOAA STOFS storm surge forecasts, observation validation, and OPeNDAP data

已驗證STDIO僅桌面位置與生活資料與分析

概覽

AI 產生的概覽

讓助理取得 NOAA STOFS 風暴潮預報、與觀測資料比對,並讀取 OPeNDAP 沿海資料。

可以做什麼
這個本機 MCP 伺服器向 AI 助理提供 NOAA STOFS 風暴潮預報資料、觀測驗證以及 OPeNDAP 資料存取。依照該儲存庫的通用慣例,其工具為唯讀資料擷取工具,結果可傳回為 markdown、JSON、GeoJSON 或影像。典型用途包括取得某測站的水位預報、將預報與觀測比對、依預測水位排序測站,以及尋找某位置附近的測站。
適用情境
當你需要 NOAA STOFS 的風暴潮或沿海水位預報資訊,或希望助理把預報與實測水位進行比對時,可以使用它。它適合沿海、海洋與洪水相關分析,由助理查詢公開資料而非在本機運算。
執行需求
以 stdio 方式在本機執行,從 PyPI 安裝為 stofs-mcp,通常用 uvx 啟動(也可用 pip 或 pipx)。需要 Python 執行環境與網路存取以連線 NOAA 資料服務。未宣告 API 金鑰或環境變數。
安裝前請注意
此伺服器被描述為唯讀的資料擷取工具,不應修改資料。它會向公開的 NOAA 資料服務送出請求,因此查詢內容與位置資訊可能對這些第三方可見。未顯示需要憑證、付款或寫入操作。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 NOAA STOFS MCP Server,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

OceanMCP

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

[PyPI] [CI] [MCP Registry] [License: MIT]

Servers

ServerPyPIDescription
coops-mcp[PyPI]NOAA CO-OPS tides, water levels, currents, meteorological data
erddap-mcp[PyPI]Universal ERDDAP data access across 80+ public servers
nhc-mcp[PyPI]NHC storm tracks, advisories, HURDAT2 best track data
recon-mcp[PyPI]Hurricane reconnaissance data (HDOB, Vortex Data Messages, ATCF fixes)
stofs-mcp[PyPI]NOAA STOFS storm surge forecasts and observation validation
ofs-mcp[PyPI]NOAA OFS regional ocean model forecasts (water level, temperature, salinity)
rtofs-mcp[PyPI]NOAA RTOFS global ocean forecasts (SST, salinity, currents, SSH) via HYCOM THREDDS
ww3-mcp[PyPI]GFS-Wave (WAVEWATCH III) forecasts and NDBC buoy wave observations
ndbc-mcp[PyPI]NOAA NDBC buoy observations — waves, SST, wind, pressure (1,300+ stations)
winds-mcp[PyPI]NWS surface wind observations from ASOS / AWOS stations
usgs-mcp[PyPI]USGS Water Services — streamflow, NWS/NWPS flood status, peak events
goes-mcp[PyPI]NOAA GOES-18/19 satellite imagery — visible, infrared, water vapor
adcirc-mcp[PyPI]ADCIRC model setup debugging, parameter lookup, config validation
schism-mcp[PyPI]SCHISM model setup debugging, parameter lookup, config validation

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).

There is also a 19th server in this repo, nos-workflow-mcp, which is experimental and still a work in progress (its full implementation lives on an unmerged branch — main carries only a minimal subset). It's intentionally left out of the table above and not yet ready for general use.

Quick Start

Install from PyPI

bash
# uvx (recommended) — runs without permanent install, like npx for Pythonuvx coops-mcp
# pip — install into current environmentpip install coops-mcp
# pipx — install in isolated environment with CLI entry pointpipx install coops-mcp

Replace coops-mcp with any published server: erddap-mcp, nhc-mcp, recon-mcp, stofs-mcp, ofs-mcp, rtofs-mcp, ww3-mcp, ndbc-mcp, winds-mcp, usgs-mcp, goes-mcp, adcirc-mcp, schism-mcp.

Install from source

bash
git clone https://github.com/oceanmodeling/ocean-mcp.gitcd ocean-mcp/servers/coops-mcp  # or any other server directory under servers/uv sync

Configure your MCP client

Add to your MCP settings (e.g., project .mcp.json):

Using PyPI packages (recommended):

json
{  "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"]    }  }}
Using local source checkout
json
{  "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"]    }  }}

Example Queries

With servers configured, you can ask your AI assistant naturally:

CO-OPS queries:

  • "Get current water levels at The Battery, NY"
  • "Find tide stations near Miami Beach"
  • "What are the flood statistics for Charleston, SC?"
  • "Show me the sea level trend at San Francisco"

ERDDAP queries:

  • "Search for sea surface temperature datasets on CoastWatch"
  • "Get chlorophyll data off the California coast for January 2024"
  • "What ERDDAP servers cover the US East Coast?"
  • "List all glider datasets on IOOS Gliders ERDDAP"

NHC queries:

  • "Are there any active tropical cyclones right now?"
  • "Show me Hurricane Katrina's track"
  • "Search for Category 5 hurricanes in the Atlantic"
  • "What is the forecast track for the active storm?"

Recon queries:

  • "List HDOB reconnaissance flights for the 2024 Atlantic season"
  • "Get HDOB flight-level observations from October 7, 2024"
  • "Show me the Vortex Data Messages for Hurricane Milton"
  • "Get ATCF aircraft fix data for storm AL14 2024"

STOFS queries:

  • "Get the STOFS water level forecast for The Battery, NY"
  • "Compare STOFS forecast vs observations at Boston for the past 24 hours"
  • "What are the top stations with highest predicted water levels?"
  • "Find STOFS stations within 50 km of New Orleans"

OFS queries:

  • "What OFS models cover the Chesapeake Bay?"
  • "Get the water level forecast at lat 38.98, lon -76.48 from CBOFS"
  • "Compare CBOFS water level with CO-OPS observations at station 8571892"
  • "List available NGOFS2 forecast cycles for today"

RTOFS queries:

  • "Get the RTOFS sea surface temperature forecast at 40°N, 74°W"
  • "Show me a temperature depth profile in the Gulf Stream"
  • "What RTOFS datasets are currently available on HYCOM THREDDS?"
  • "Get a vertical transect of salinity from Miami to Bermuda"
  • "Show the SST area forecast for the Gulf of Mexico"

WW3 queries:

  • "What GFS-Wave model grids are available?"
  • "Find NDBC buoys near Cape Hatteras"
  • "Get the latest wave observations from buoy 41025"
  • "Show me the GFS-Wave forecast at 35°N, 75°W for the next 48 hours"
  • "Compare the wave forecast against buoy 41025 observations"

Cross-server queries:

  • "Find CO-OPS stations near this ERDDAP buoy location"
  • "Compare tide station data with nearby ERDDAP satellite SST"
  • "Is there an active hurricane threatening the Gulf Coast? If so, show me the STOFS surge forecast for New Orleans"
  • "Get the CBOFS water level forecast at Chesapeake Bay and compare it with the CO-OPS tide prediction for the same station"
  • "Show me sea surface temperature from ERDDAP near The Battery and the current water level from CO-OPS"
  • "Which NHC storms have hit the Gulf Coast historically? Show the CO-OPS flood statistics for impacted stations"
  • "Get the STOFS gridded forecast and the OFS water level forecast at the same location and compare them"

Architecture

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:

  • FastMCP for MCP server framework
  • httpx for async HTTP clients
  • Pydantic models, with Literal[...] types for constrained parameters
  • Read-only tools by default — the data-fetching servers only fetch, never modify, anything. ufs-runner-mcp (submits/cancels Slurm jobs) and alert-mcp (creates/pauses/deletes in-memory alert state) are the two exceptions, each with a small number of tools marked readOnlyHint=False
  • response_format output as markdown (default), json, geojson, or image, depending on the tool
  • Actionable error messages with suggestions

See CONVENTIONS.md for the full response/behavior contract (output caps, retrieved_at, error format, HTTP retries, dependency bounds).

Citation

If you use this project in your research or work, please cite:

bibtex
@software{jisan2025oceanmcp,  author    = {Jisan, Mansur Ali},  title     = {Ocean MCP: Real-Time Marine Data, MCP-Native},  year      = {2025},  url       = {https://github.com/oceanmodeling/ocean-mcp},  note      = {MCP servers for NOAA CO-OPS, ERDDAP, NHC, Recon, STOFS, OFS, RTOFS, WW3, NDBC, USGS, winds, GOES, ADCIRC, and SCHISM data}}

License

Licensed under the MIT License. You may use, modify, and distribute this software under the MIT terms. See LICENSE for details.

來源:README.md,提交 f8d88a2

工具

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版本歷史

1
  1. v0.1.0最新Sep 16, 2026

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