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Run ANUGA flood simulations, track progress, and retrieve results on Hydrata Cloud.
Do not connect
The assessed surface is high-risk. Remediate the findings before connecting.
Scanned 27 days ago Due for re-check
A server can change after it's graded. Re-run the automated scan to refresh this report.
This grade is deterministic and reproducible: the same server surface always yields the same grade under a given algorithm version. It is a real automated assessment computed by the MCPGrade engine from what the probe actually observed — not a fabricated or opinion score. It is not a manual human pentest, so it can miss context-specific risks.
Every signal below was measured directly by the automated probe. The grade is derived only from evidence like this — nothing is assumed.
The Hydrata MCP server exposes 9 tools, focused primarily on general-purpose capabilities. Its published description reads: "Run ANUGA flood simulations, track progress, and retrieve results on Hydrata Cloud". It communicates over Streamable HTTP using the 2025-06-18 protocol revision, and does not require authorization to connect. MCPGrade currently rates Hydrata D- — the assessed surface is high-risk and should be remediated before use. Its most notable findings include "Cross-tool shadowing" and "Cross-tool shadowing". This report is a deterministic, reproducible automated assessment: the same observed surface always yields the same grade under a given algorithm version, and it is refreshed as new scans arrive and free to read — but it is not a substitute for a manual human security review. Always re-check Hydrata's advertised tools, transport security, and authorization posture before connecting an autonomous agent or sharing sensitive context with it.
Add Hydrata to an MCP client using the endpoint below. Review the grade and findings above before granting an autonomous agent access.
MCP endpoint
https://hydrata.com/mcp/Streamable HTTP transport. This is the MCP endpoint, not a website — paste it into your MCP client server list rather than a browser.
Captured passively during the read-only scan. Click any value to find servers that match it.
The tools this server advertises via tools/list — names, purposes, and the parameters each accepts, exactly as enumerated read-only.
List ANUGA simulation projects accessible to the authenticated user. Returns a paginated list of projects with their names, projections, and base map references.
Get details of a specific ANUGA project including its scenarios. Returns the project name, projection (EPSG code), base map ID, and configuration.
Get 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
Sorted worst-first. Each finding shows its severity, what it means, its OWASP MCP Top-10 mapping, and a recommended fix — the check id links to the exact methodology row that produced it.
tool: start_simulation
A tool description tries to alter the model’s use of another tool.
starting, poll get_run_status to track progress. Returns 409 if the scenarioRecommendationDescriptions must describe only their own tool.
tool: get_run_status
A tool description tries to alter the model’s use of another tool.
instead of get_run. Returns only: id, status, progress_pct (0-100), eta_sRecommendationDescriptions must describe only their own tool.
tool: get_run
A tool description tries to alter the model’s use of another tool.
result log. Use get_run_status for lightweight polling; use this for final resRecommendationDescriptions must describe only their own tool.
tool: (server instructions)
A tool description tries to alter the model’s use of another tool.
al workflow is: list_projects → get_scenario → start_simulation → poll get_ruRecommendationDescriptions must describe only their own tool.
The server accepts tool enumeration (and likely invocation) with no authentication.
RecommendationRequire OAuth 2.1 authorization for any server exposing non-public tools.
Validates up to 75,000 URLs per job checking status codes, redirects, and response times.
Pay-per-call AI API marketplace with 47 endpoints — OCR, TTS, LLM chat, image generation, weather, and crypto pricing — paid via x402 USDC micropayments on Base.
EPA drinking water quality data in plain English, providing AI agents with tap water quality information for US cities via nine public-data tools.
AI phone answering and appointment booking tools for service businesses.
Aggregates Romanian TV, streaming, cinema, and theater listings for AI agents.
Agent-callable Parallax services — catalog browsing, pricing, project start, and booking.
Start 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
Lightweight 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. P
Get 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,
Cancel 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 alr
Retry 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
List 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.