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ADCIRC Model Setup MCP Server

  • 6 repo stars
  • Updated July 27, 2026
  • mansurjisan/ocean-mcp

io.github.mansurjisan/adcirc-mcp is a MCP server that helps debug ADCIRC model configuration, look up parameters, and validate setup through agent-callable tools.

About

io.github.mansurjisan/adcirc-mcp is an MCP server titled ADCIRC Model Setup MCP Server. It targets researchers, coastal engineers, and developers who run ADCIRC storm surge and circulation models and want an AI assistant to help with configuration debugging, parameter lookup, and validation instead of flipping through manuals mid-session. Install via the adcirc-mcp PyPI package using stdio transport (uvx is suggested), register it in Claude Code or Cursor, and invoke tools while editing namelists, grids, and forcing files. The canonical Skillselion placement is Build → integrations because you are extending your agent with domain-specific scientific tooling, not running a consumer SaaS frontend. It pairs naturally with other ocean-mcp servers when you need observations or ERDDAP pulls to feed boundary conditions. Complexity is intermediate: you need familiarity with ADCIRC concepts plus basic MCP wiring.

  • ADCIRC model configuration debugging through MCP tools
  • Parameter lookup for ADCIRC inputs and options
  • Validation helpers for model setup before runs
  • PyPI package adcirc-mcp with uvx runtime hint and stdio transport
  • Version 0.1.1 from the ocean-mcp monorepo on GitHub

ADCIRC Model Setup MCP Server by the numbers

  • Data as of Jul 28, 2026 (Skillselion catalog sync)
terminal
claude mcp add adcirc-mcp -- uvx adcirc-mcp

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repo stars6
Packageadcirc-mcp
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Last updatedJuly 27, 2026
Repositorymansurjisan/ocean-mcp

What it does

Let your coding agent debug ADCIRC model setups, look up parameters, and validate configuration while you build coastal or ocean modeling workflows.

Who is it for?

Best when you use ADCIRC and already run Python tooling and want MCP-assisted setup checks in Claude Code or Cursor.

Skip if: General web developers with no ADCIRC workflow who only need generic database or HTTP MCP servers.

What you get

Your agent can query ADCIRC-oriented MCP tools for parameter help and validation signals while you stay in the IDE working on model files.

  • Agent-accessible ADCIRC configuration debugging and parameter lookup
  • Validation feedback on model setup before compute runs
  • Repeatable MCP integration alongside other ocean-mcp servers

By the numbers

  • Published version 0.1.1 on PyPI as adcirc-mcp
  • Stdio MCP transport with uvx runtime hint
  • Source repository: mansurjisan/ocean-mcp on GitHub
README.md

OceanMCP

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

PyPI MCP Registry License: MIT

Servers

Server PyPI Description
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 — all servers use free, publicly available datasets.

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), and alert-mcp (CO-OPS threshold alerting).

Quick Start

Install from PyPI

# 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 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

git clone https://github.com/mansurjisan/ocean-mcp.git
cd 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):

{
  "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
{
  "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 for parameter validation
  • Read-only tools (no data modification)
  • Dual markdown/JSON output formats
  • Actionable error messages with suggestions

Citation

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}
}

License

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

Recommended MCP Servers

How it compares

Domain-specific scientific MCP for ADCIRC setup, not a generic code-review skill or a raw NOAA data feed server.

FAQ

Who is io.github.mansurjisan/adcirc-mcp for?

Developers and researchers working with ADCIRC storm surge and circulation models who want MCP tools for configuration debugging and validation in their coding agent.

When should I use io.github.mansurjisan/adcirc-mcp?

Use it while building or refining ADCIRC model setups—when you need parameter lookup and validation before launching long HPC runs or operational forecasts.

How do I add io.github.mansurjisan/adcirc-mcp to my agent?

Register the adcirc-mcp PyPI MCP server (stdio, version 0.1.1) in your MCP config; use uvx as the runtime hint if your client supports it, then restart the agent.

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