Is the Aquaview MCP server down?

mcp-registry/org.aquaview/aquaview-mcp · v2.14.2

healthy
Last checked 2026-10-22 04:49 UTC · handshake 130ms

As of 2026-10-22 04:49 UTC, the Aquaview MCP server is up with a Glimind reliability score of 93/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 3 outages in 90 days, with a median recovery of 7 minutes.

uptime (30d checks)
100%
checks observed
4,213
outages (90d)
3
tools
6

AQUAVIEW MCP Server - Search and access global oceanographic and environmental datasets.

Install Aquaview MCP server

Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http aquaview-mcp-server https://mcp.aquaview.org/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "aquaview-mcp-server": {
      "type": "http",
      "url": "https://mcp.aquaview.org/mcp"
    }
  }
}

Third-party server, listed as discovered. Review its source before installing.

Agent-readiness: C (75/100)

C (75/100): 0 error(s), 2 warning(s) across 6 tool(s); ~1,833 tokens of tool definitions.
Scores higher than 12% of 15,528 MCP servers Glimind has audited.
Its tool list costs an agent ~1,833 tokens per session — lighter than 55% of servers.
74 → 75 since 2026-10-17
no tool-poisoning patterns
Schemas100
Descriptions30
Safety hints30
Token cost100
Client compatibility100
Protocol100
Reliability100
Stability96

What to fix (3)

42 parameter(s) across 6 tool(s) have no description.

Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →

Tools: aggregate, get_data, get_item, list_collections, list_data_sources and 1 more

6 of 6 tool(s) carry no readOnlyHint/destructiveHint annotations.

Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →

Tools: aggregate, get_data, get_item, list_collections, list_data_sources and 1 more

In the last 30 days: 0 tool(s) removed and 1 schema change(s).

Add new tools or optional parameters instead of renaming or removing; deprecate first (say so in the description) and remove later. Agents cache tool contracts. How to fix →

Auto-fix: 5 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 6 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Forg.aquaview%2Faquaview-mcp/fixes

get_data 1 change
{
  "name": "get_data",
  "description": "Pull actual observation rows from an AQUAVIEW data source — not catalog metadata.\n\nUse this whenever the question needs the measurements themselves (temperature\nprofiles, float positions, buoy readings), rather than which datasets exist.\nCall list_data_sources first for a source's canonical variable names, its\n`qc_modes`, and its `engine` (gridded \"xarray\" sources have no rows to pull).\n\nREAD 'returned' FIRST. It is one of three values:\n  - 'complete': 'rows' holds EVERY matching row (or your wh",
  "inputSchema": {
    "type": "object",
    "required": [
      "source",
      "variables"
    ],
    "properties": {
      "qc": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "default": null
      },
      "bbox": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "default": null
      },
      "depth": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "default": null
      },
      "limit": {
        "anyOf": [
          {
            "type": "integer"
          },
          {
            "type": "null"
          }
        ],
        "default": null
      },
      "format": {
        "enum": [
          "parquet",
          "csv"
        ],
        "type": "string",
        "default": "parquet"
      },
      "source": {
        "type": "string"
      },
      "filters": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "object",
            "additionalProperties": true
          },
          {
            "type": "null"
          }
        ],
        "default": null
      },
      "datetime": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "default": null
      },
      "variables": {
        "type": "string"
      },
      "output_format": {
        "enum": [
          "csv",
          "json",
          "toon"
        ],
        "type": "string",
        "default": "csv"
      },
      "include_sample": {
        "type": "boolean",
        "default": true
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
get_item 1 change
{
  "name": "get_item",
  "description": "Fetch a single AQUAVIEW dataset item with full details, properties, and download links (assets).\n\nSTAC items embed assets inline — each asset includes an href (download URL) and media type, so there is no need for a separate \"files\" call.\n\nArgs:\n    collection: The collection ID the item belongs to (e.g., \"NOAA\", \"NDBC\", \"WOD\"). Available from search results or list_collections.\n    item_id: The unique item identifier (e.g., \"wod_xbt_ZZ144579\"). Available from search results.\n    output_format: ",
  "inputSchema": {
    "type": "object",
    "required": [
      "collection",
      "item_id"
    ],
    "properties": {
      "item_id": {
        "type": "string"
      },
      "collection": {
        "type": "string"
      },
      "output_format": {
        "enum": [
          "json",
          "toon"
        ],
        "type": "string",
        "default": "toon"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
list_collections 1 change
{
  "name": "list_collections",
  "description": "List all available AQUAVIEW data collections (sources).\n\nReturns a summary of each collection with ID, title, description, spatial/temporal extent, and keywords. Use collection IDs to filter searches.\n\nThese are CATALOG collections. Several are also queryable row by row — see\nlist_data_sources for the sources get_data can pull observations from.\n\nA collection's bbox and temporal range are OUTER BOUNDS, not a promise of\ncoverage. They are the envelope around everything in the collection, so\nmost ",
  "inputSchema": {
    "type": "object",
    "properties": {
      "tag": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "default": null
      },
      "output_format": {
        "enum": [
          "csv",
          "json",
          "toon"
        ],
        "type": "string",
        "default": "csv"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}

Get alerted

Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:

curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/org.aquaview/aquaview-mcp"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/org.aquaview/aquaview-mcp"}) over MCP.

Passed

Largest tool definitions

Static checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).

Operator? Fix these, then re-check live. Embed the readiness badge:

Markdown
[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Forg.aquaview%2Faquaview-mcp.svg)](https://glimind.com/server/mcp-registry%2Forg.aquaview%2Faquaview-mcp?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Forg.aquaview%2Faquaview-mcp?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Forg.aquaview%2Faquaview-mcp.svg" alt="MCP agent-readiness"></a>
reStructuredText
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Forg.aquaview%2Faquaview-mcp.svg
   :target: https://glimind.com/server/mcp-registry%2Forg.aquaview%2Faquaview-mcp?ref=badge
   :alt: MCP agent-readiness

Tool-definition log

Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:7e7604447307b6a3…, first seen 2026-10-17, included at leaf 4940 of 43,811. Version history · verify what your client received.

Tools (6)

Compare: most reliable data servers · most reliable retrieval servers · most reliable search servers

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Add to Cursor Add to VS Code

Claude Code

claude mcp add --transport http glimind https://glimind.com/mcp

Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "glimind": {
      "type": "http",
      "url": "https://glimind.com/mcp"
    }
  }
}

FAQ

Is the Aquaview MCP server down right now?

As of 2026-10-22 04:49 UTC, the Aquaview MCP server is up with a Glimind reliability score of 93/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 3 outages in 90 days, with a median recovery of 7 minutes.

How many tools does Aquaview MCP server provide?

Aquaview MCP server advertises 6 tools, including aggregate, get_data, get_item, list_collections, list_data_sources.

How do I install Aquaview MCP server?

Point your MCP client at this streamable-http endpoint: https://mcp.aquaview.org/mcp

Is the Aquaview MCP server safe to connect to an AI agent?

Glimind scanned all 6 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.

Operator of Aquaview MCP server?

Status page: 90-day uptime, every outage and how long it lasted.

Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.

Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.

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