
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
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
在 SourceWeft 中
- 開啟 儀表板中的 NOAA STOFS MCP Server,將其新增到工作區。
- 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
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
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
Configure your MCP client
Add to your MCP settings (e.g., project .mcp.json):
Using PyPI packages (recommended):
Using local source checkout
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) andalert-mcp(creates/pauses/deletes in-memory alert state) are the two exceptions, each with a small number of tools markedreadOnlyHint=False response_formatoutput 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:
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
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0版本歷史
1- v0.1.0最新Sep 16, 2026
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