Hydrata - ANUGA Flood Simulation

Run ANUGA flood simulations, track progress, and retrieve results on Hydrata Cloud.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Run ANUGA flood simulations, track progress, and retrieve results on Hydrata Cloud.

    How to connect

    How to connect Hydrata - ANUGA Flood Simulation to Claude

    The server address to paste into Claude settings:

    https://hydrata.com/mcp/

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect Hydrata - ANUGA Flood Simulation to ChatGPT

    The server address to paste into ChatGPT settings:

    https://hydrata.com/mcp/

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect Hydrata - ANUGA Flood Simulation to Cursor

    The server address to paste into Cursor settings:

    https://hydrata.com/mcp/

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (9)

    Raw names from tools/list. Only developers need these.

    list_projectsList ANUGA simulation projects accessible to the authenticated user. Returns a paginated list of projects with their names, projections, and base map references.
    get_projectGet details of a specific ANUGA project including its scenarios. Returns the project name, projection (EPSG code), base map ID, and configuration.
    get_scenarioGet scenario details including its current status and latest run. The status field is computed from the latest run and will be one of: created, building, built, queued, computing, processing, complete, error, or cancelled. A scenario must be in 'built' status before it can be run.
    start_simulationStart a flood simulation run for a built scenario. The scenario must be in 'built' status. Returns 202 with the new run. The run transitions through: built → queued → computing → processing → complete. After starting, poll get_run_status to track progress. Returns 409 if the scenario is not in the correct state.
    get_run_statusLightweight status check for a simulation run (fast, <50ms). Use this for polling instead of get_run. Returns only: id, status, progress_pct (0-100), eta_seconds, error_message, and compute_backend. Poll every 5-10 seconds. Terminal states: complete, error, cancelled.
    get_runGet full details of a simulation run including timing and results. Returns the complete run record: status, progress, timing (start/end timestamps, duration), compute details (backend, instance type, cost), mesh info, error messages, and result log. Use get_run_status for lightweight polling; use this for final results.
    cancel_runCancel an in-flight simulation run. Works on runs in built, queued, or computing status. Cleans up compute resources (terminates EC2 instance, Celery task, or Batch job). Returns 409 if the run is already in a terminal state (complete, cancelled, or error).
    retry_runRetry a failed simulation run. Resets an errored run back to 'created' status and triggers a new package build. The same run ID is reused. Only valid when status is 'error'. Returns 409 for any other state.
    list_runsList all simulation runs across all scenarios in a project. Returns a paginated list of runs. Optionally filter by status to find active, completed, or failed runs.