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  3. Hydrata ANUGA Flood Simulation
Hydrata   ANUGA Flood Simulation logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 12:31:40 AM

Hydrata ANUGA Flood Simulation

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Run ANUGA flood simulations, track progress, and retrieve results on Hydrata Cloud.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "hydrata-anuga-flood-simulation": {
      "url": "https://hydrata.com/mcp/"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (17) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Capabilities & Tool Schemas (17) ~438 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Hydrata ANUGA Flood Simulation.

list_projects

List ANUGA simulation projects (paginated)

get_project

Get project details including scenarios

get_scenario

Get a scenario's `computed_status`, mesh-triangle estimate and latest run

start_simulation

Start a flood simulation (local/EC2/Batch backends)

get_run_status

Lightweight status poll (<50ms)

get_run

Full run details with timing and results

Documentation Overview

hydrata-mcp-server

License: MIT

MCP server for Hydrata Cloud β€” build ANUGA flood models from terrain and input layers, run simulations, track progress, and retrieve results through the Model Context Protocol.

Connect and authenticate

Endpoint: https://hydrata.com/mcp/ β€” Transport: Streamable HTTP.

Every tool call needs the caller's own hydrata.com credential. The server holds no identity of its own: a tools/call must carry the caller's Authorization header (HTTP Basic for a hydrata.com account), which the server forwards verbatim to the Hydrata REST API β€” so results are scoped by the real user's project permissions and the audit trail names them. A tools/call without it is answered with 401 and WWW-Authenticate: Basic realm="hydrata.com" before any tool runs. initialize, tools/list and ping answer anonymously, so the tool catalog is browsable without an account and the MCP registry's liveness check stays true.

The server is not yet open to external accounts: there is no self-serve way to connect your own hydrata.com login to it today, and this README deliberately carries no client-side credential recipe. If you would like to use it, contact us at hydrata.com.

Tools

Version 0.2.0 exposes seventeen tools: nine that read projects and scenarios and drive a run, and eight that build a model from terrain and input layers the agent has already uploaded.

ToolDescription
list_projectsList ANUGA simulation projects (paginated)
get_projectGet project details including scenarios
get_scenarioGet a scenario's computed_status, mesh-triangle estimate and latest run
start_simulationStart a flood simulation (local/EC2/Batch backends)
get_run_statusLightweight status poll (<50ms)
get_runFull run details with timing and results
cancel_runCancel an in-flight simulation
retry_runRetry a failed simulation
list_runsList runs across a project (with status filter)
create_projectCreate an ANUGA project with a name and EPSG projection
presign_terrain_uploadReturn a presigned URL + key so the agent PUTs the terrain GeoTIFF itself (no file bytes pass through MCP)
finalize_terrain_uploadRegister the uploaded terrain; the import chain seeds the project's six default boundary/friction/inflow/rainfall/structure/mesh-region rows
get_terrainPoll the terrain until it is ready (bounded; timed_out means call again)
create_time_seriesCreate a time series (rain gauge, hydrograph or tide/stage β€” series_type and units are top-level fields) from {"rowData": [...]}; a rainfall polygon binds to its gauge by the series name
attach_input_layerAttach a GeoJSON dataset the agent already uploaded as the project's boundary/friction/inflow/rainfall/structure or mesh-region layer; breakline and culvert are refused (culvert flow is not conveyed)
create_scenarioCreate a draft scenario and return its mesh-triangle estimate (resolution is a length in metres)
build_scenarioBuild the scenario package; shows the estimate first and needs confirm=true above 100,000 triangles; polls computed_status to built; never re-posts a build that is in flight or already built (rebuild=true to force one); surfaces the server's 422 MESH_TOO_LARGE verbatim

No tool accepts file contents inline. The agent moves the bytes itself β€” the terrain GeoTIFF to the presigned URL, a GeoJSON layer to the REST API upload endpoint β€” and hands the server the resulting key or upload id.

Typical workflow

Run a scenario that already exists:

Code
list_projects β†’ get_scenario β†’ start_simulation β†’ poll get_run_status β†’ get_run

Import a model and run it:

Code
create_project β†’ presign_terrain_upload β†’ PUT the GeoTIFF β†’ finalize_terrain_upload β†’ get_terrain
β†’ create_time_series / attach_input_layer β†’ create_scenario β†’ build_scenario
β†’ start_simulation β†’ poll get_run_status β†’ get_run

What is Hydrata?

Hydrata is a geospatial hydraulic modeling platform. It runs ANUGA flood simulations in the cloud β€” upload terrain data, configure scenarios, run simulations on managed compute (Celery, EC2, or AWS Batch), and visualise results on interactive maps.

ANUGA is an open-source hydrodynamic model developed by Geoscience Australia and the Australian National University. It solves the shallow water wave equations using finite volumes on an unstructured triangular mesh.

Development

bash
git clone https://github.com/Hydrata/hydrata-mcp-server.git
cd hydrata-mcp-server
pip install -e ".[dev]"
pytest -v

Contributions welcome β€” see issues.

License

MIT

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Last commit
3d ago
Most recent push to the default branch.
Tools exposed
17
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Hydrata ANUGA Flood Simulation

Hydrata - ANUGA Flood Simulation is a hosted MCP server. Add it as a remote server in your client's config: "mcpServers": { "hydrata-anuga-flood-simulation": { "url": "https://hydrata.com/mcp/" } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSSE (Remote)
Last updatedSep 21, 2026
11/16 checks healthy over the last 45d
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Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
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GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit3d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 21, 2026
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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