Server data from the Official MCP Registry
Run ANUGA flood simulations, track progress, and retrieve results on Hydrata Cloud.
About
Run ANUGA flood simulations, track progress, and retrieve results on Hydrata Cloud.
Remote endpoints: streamable-http: https://hydrata.com/mcp/
Security Report
Valid MCP server (0 strong, 2 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
17 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-hydrata-hydrata-mcp-server": {
"url": "https://hydrata.com/mcp/"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
hydrata-mcp-server
MCP server for Hydrata Cloud — 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/ — 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 — 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 nineteen tools: eleven that read projects, inputs and scenarios and drive a run, and eight that build a model from terrain and input layers the agent has already uploaded. Every tool carries MCP annotations (a title; readOnlyHint on the nine read tools; destructiveHint only on cancel_run).
| Tool | Description |
|---|---|
list_projects | List ANUGA simulation projects (paginated) |
get_project | Get one project — name, projection, visibility, your role, base_map — plus ui_url, the link that opens its map |
get_scenario | Get a scenario's compact state — computed_status, its inputs (terrain, boundary, friction, inflow, rainfall, structure, mesh region, resolution, duration), the mesh-triangle estimate + breakdown, the price (compute_cost_estimate, vcpu_hours_estimate) and the latest run's id/status/error — never the raw detail |
start_simulation | Start a flood simulation (local/EC2/Batch backends); the returned run record has its presigned download links elided; hand-back link opens the run |
get_run_status | Lightweight status poll (<50ms); phase is never empty (preparing_inputs while a computing run has no progress yet) |
get_run | Full run details with timing, log and result layers; presigned s3_*_url download links are elided |
cancel_run | Cancel an in-flight simulation; hand-back link opens the scenario |
retry_run | Retry a failed simulation (rebuilds the scenario as a new run); hand-back link opens the scenario |
list_runs | List runs across a project (with status filter); presigned s3_*_url download links are elided from every row |
list_inputs | Every input row of a project per kind — row id, title, dataset, WFS typename and whether it has features — so the agent never has to probe files |
list_time_series | A project's time series — id, name, type, units, row count and first/last timestamp; the data rows are never returned |
create_project | Create an ANUGA project with a name and EPSG projection; returns its base_map and the ui_url of its map |
presign_terrain_upload | Return a presigned URL + key so the agent PUTs the terrain GeoTIFF itself (no file bytes pass through MCP) |
finalize_terrain_upload | Register the uploaded terrain; the import chain seeds the project's six default boundary/friction/inflow/rainfall/structure/mesh-region rows |
get_terrain | Poll the terrain until it is ready (bounded; timed_out means call again); phase is never empty; summary = WGS84 bbox, elevation min/max, nodata fraction, native CRS; the link frames the DEM |
create_time_series | Create a time series (rain gauge, hydrograph or tide/stage — series_type and units are top-level fields) from {"rowData": [...]}; a rainfall polygon binds to its gauge by the series name; summary = row count + first/last timestamp; the link opens the Hydrology panel |
attach_input_layer | Attach 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); summary = feature count (WFS hits) + WGS84 bbox + whether the map now shows the layer; the link opens Inputs and frames the layer |
create_scenario | Create a draft scenario and return its mesh-triangle estimate and price (resolution — scenario and mesh-region — is a length in metres); the link opens the scenario |
build_scenario | Build 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 refusals (MESH_TOO_LARGE, BOUNDARY_NO_EXTERNAL, MESH_REGION_UNITS_UNMARKED) verbatim; a missing/empty/perimeter-less boundary sends the human to the map to draw or fix it; summary = triangle count + re-priced cost |
The hand-back: the engineer signs off in the map
Every tool that changes something (create_project, finalize_terrain_upload, get_terrain, create_time_series, attach_input_layer, create_scenario, build_scenario, start_simulation, cancel_run, retry_run) also returns:
ui_url—https://<site>/catalogue/#/map/<base_map>?panel=…&layer=…&scenario=…&run=…, which opens the project map on the thing that changed (the Inputs panel framing the attached layer, the Hydrology panel, the scenario, the run);summary— numbers the engineer can check (feature count and bbox, elevation range, row count and time span, triangle estimate and price);say_to_user— the sentence the agent should relay.
The server's instructions tell the agent to hand the link to the user after each layer lands and to wait for the user before start_simulation. Refusals the user can fix in the map (no boundary, no External boundary edge) carry the link too. Every request the server forwards carries X-Hydrata-Client: mcp/<version> and X-Hydrata-Session: <uuid> — informational only (client-asserted), never used for authorship.
No tool accepts file contents inline. The agent moves the bytes itself — the terrain GeoTIFF to the presigned URL, a GeoJSON layer to the REST API upload endpoint — and hands the server the resulting key or upload id.
No read tool relays a presigned S3 URL. A run's result links are 6-hour capabilities carrying a temporary AWS credential, and the server forwards the caller's own credential rather than holding one, so a tool that echoed such a link would widen what an agent transcript is worth beyond what the caller asked for. Every read tool (and start_simulation) elides them, recursively, by key name (s3_*_url) and by value shape (any string carrying X-Amz-Signature / X-Amz-Security-Token, redacted in place so the rest of a log line survives); results stay viewable through the gn_layer_* WMS entries. presign_terrain_upload is the sole exception: its upload_url is the URL the caller explicitly asked for.
Typical workflow
Run a scenario that already exists:
list_projects → get_scenario → start_simulation → poll get_run_status → get_run
Import a model and run it:
create_project → presign_terrain_upload → PUT the GeoTIFF → finalize_terrain_upload → get_terrain
→ create_time_series / attach_input_layer → create_scenario → build_scenario
→ start_simulation → poll get_run_status → get_run
What is Hydrata?
Hydrata is a geospatial hydraulic modeling platform. It runs ANUGA flood simulations in the cloud — 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
git clone https://github.com/Hydrata/hydrata-mcp-server.git
cd hydrata-mcp-server
pip install -e ".[dev]"
pytest -v
Contributions welcome — see issues.
License
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