NOAA RTOFS MCP Server
PYPI · RTOFS-MCP · SCANNED SEP 20
NOAA RTOFS global ocean forecast — SST, salinity, currents, depth profiles via CoastWatch ERDDAP
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 0 of 29 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency10
- Repository check failed: the declared repository URL redirects; it must resolve directly. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: the license (MIT License) isn't a recognized OSI-approved license. See how to fix → Fail
- Actively maintained (last published 53 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability69
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1402 tokens (~175/item across 8 items; 8 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management87
- Stability observed for 26 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the NOAA RTOFS MCP Server server?
NOAA RTOFS MCP Server runs locally as a PyPI package, launched with uvx rtofs-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · rtofs-mcp
claude mcp add mansurjisan-rtofs-mcp -- uvx rtofs-mcp
{
"mcpServers": {
"mansurjisan-rtofs-mcp": {
"command": "uvx",
"args": [
"rtofs-mcp"
]
}
}
} {
"servers": {
"mansurjisan-rtofs-mcp": {
"command": "uvx",
"args": [
"rtofs-mcp"
]
}
}
} codex mcp add mansurjisan-rtofs-mcp -- uvx rtofs-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"mansurjisan-rtofs-mcp": {
"type": "local",
"command": [
"uvx",
"rtofs-mcp"
],
"enabled": true
}
}
} openclaw mcp add mansurjisan-rtofs-mcp --command uvx --arg rtofs-mcp
mcp_servers:
mansurjisan-rtofs-mcp:
command: "uvx"
args: ["rtofs-mcp"] {
"McpServers": {
"mansurjisan-rtofs-mcp": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"rtofs-mcp"
]
}
}
} assistant mcp add mansurjisan-rtofs-mcp -t stdio -c uvx -a rtofs-mcp
{
"mcpServers": {
"mansurjisan-rtofs-mcp": {
"command": "uvx",
"args": [
"rtofs-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 19 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Sept 26 −3
- Stability: pass → 0.80 functional
- 17 Sept 26 0
- Stability: 0.97 → pass security
- 16 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 −3
- Stability: pass → 0.80 functional
- 10 Sept 26 0
- Stability: 0.97 → pass security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Analysed pypi/rtofs-mcp@0.1.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 29 packages
| Packages resolved | 29 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
rtofs_compare_with_observations ~161
Compare RTOFS forecast values at two different times at the same location. Fetches the latest and an earlier forecast for the same point to show how the forecast evolves. For SST, compares the most recent value with the value from 24 hours earlier. Args: latitude: Latitude in decimal degrees. longitude: Longitude in decimal degrees. variable: Surface variable to compare. Default: 'sst'. time: Reference time in ISO format. Default: latest ('present'). response_format: 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| latitude | number | yes | – |
| longitude | number | yes | – |
| response_format | string | – | – |
| time | – | – | – |
| variable | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
rtofs_get_area_forecast ~259
Get RTOFS surface forecast for a grid of points in a bounding box. Queries multiple points in parallel using THREDDS NCSS. The number of points per axis is controlled by n_points (total queries = n_points^2). For 3D variables (SST, SSS, currents), surface values (depth=0) are returned. Args: lat_start: Southern latitude bound. lat_end: Northern latitude bound. lon_start: Western longitude bound. lon_end: Eastern longitude bound. variable: One of: sst, sss, u_current, v_current, ssh. Default: 'sst'. time: Time in ISO format. Default: latest ('present'). n_points: Number of grid points per axis (2–15). Default: 10. Total = n^2. response_format: 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| lat_end | number | yes | – |
| lat_start | number | yes | – |
| lon_end | number | yes | – |
| lon_start | number | yes | – |
| n_points | integer | – | – |
| response_format | string | – | – |
| time | – | – | – |
| variable | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
rtofs_get_latest_time ~94
Query the latest available forecast time from HYCOM THREDDS. Useful for determining what forecast data is currently available before making data queries. Args: dataset: One of 'ssh', 'sst', 'sss', 'currents'. Default: 'ssh'. response_format: 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset | string | – | – |
| response_format | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
rtofs_get_profile_forecast ~193
Get RTOFS 3D depth profile at a point (temperature, salinity, or currents vs depth). Queries HYCOM THREDDS NCSS for a vertical profile at the nearest grid cell. Returns values at all available depth levels for a single time step. Args: latitude: Latitude in decimal degrees (-80 to 90). longitude: Longitude in decimal degrees (-180 to 180). variable: One of: temperature, salinity, u, v. Default: 'temperature'. time: Time in ISO format (e.g., '2026-03-03T12:00:00Z'). Default: latest. response_format: 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| latitude | number | yes | – |
| longitude | number | yes | – |
| response_format | string | – | – |
| time | – | – | – |
| variable | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
rtofs_get_surface_forecast ~258
Get RTOFS surface time series at a point (SST, SSS, currents, or SSH). Queries HYCOM THREDDS NCSS for the nearest grid cell to the requested lat/lon (~8 km resolution). Returns a time series over the full forecast period or a specified time range. For 3D variables (SST, SSS, currents), surface values (depth=0) are returned. Args: latitude: Latitude in decimal degrees (-80 to 90). longitude: Longitude in decimal degrees (-180 to 180). variable: One of: sst, sss, u_current, v_current, ssh. Default: 'sst'. time_start: Start time in ISO format (e.g., '2026-03-01T00:00:00Z'). Default: all available times. time_end: End time in ISO format. Default: all available. response_format: 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| latitude | number | yes | – |
| longitude | number | yes | – |
| response_format | string | – | – |
| time_end | – | – | – |
| time_start | – | – | – |
| variable | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
rtofs_get_system_info ~91
Get RTOFS system overview — model specifications, variables, resolution, and coverage. Returns metadata about the Real-Time Ocean Forecast System (RTOFS/ESPC) including model resolution, forecast length, available variables, and data source information. No network request needed. Args: response_format: 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| response_format | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
rtofs_get_transect ~235
Get a vertical transect (cross-section) between two points from RTOFS 3D data. Queries depth profiles at multiple points along a line between start and end coordinates, then combines them into a depth vs. distance cross-section. Uses asyncio.gather for parallel THREDDS NCSS queries. Args: lat_start: Starting latitude. lon_start: Starting longitude. lat_end: Ending latitude. lon_end: Ending longitude. variable: One of: temperature, salinity, u, v. Default: 'temperature'. time: Time in ISO format. Default: latest ('present'). n_points: Number of profile points along the transect (2–20). Default: 10. response_format: 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| lat_end | number | yes | – |
| lat_start | number | yes | – |
| lon_end | number | yes | – |
| lon_start | number | yes | – |
| n_points | integer | – | – |
| response_format | string | – | – |
| time | – | – | – |
| variable | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
rtofs_list_datasets ~111
List RTOFS datasets on HYCOM THREDDS with optional availability check. Shows the 4 RTOFS/ESPC datasets (SSH, temperature, salinity, currents) and optionally checks if each is currently accessible. Args: check_availability: If True, ping each dataset to check live status. Default: True. response_format: 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| check_availability | boolean | – | – |
| response_format | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
What is the NOAA RTOFS MCP Server server?
NOAA RTOFS MCP Server is listed in the public MCP registry as io.github.mansurjisan/rtofs-mcp. NOAA RTOFS global ocean forecast, SST, salinity, currents, depth profiles via CoastWatch ERDDAP. This page covers its PyPI package (rtofs-mcp).
Is the NOAA RTOFS MCP Server server safe to use?
NOAA RTOFS MCP Server scores 57 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the NOAA RTOFS MCP Server server expose?
NOAA RTOFS MCP Server exposes 8 tools: rtofs_get_transect, rtofs_compare_with_observations, rtofs_get_system_info, rtofs_list_datasets, rtofs_get_latest_time, and 3 more. Their descriptions and schemas cost roughly 1,402 tokens of context every time the server is loaded.
Is the NOAA RTOFS MCP Server server still maintained?
NOAA RTOFS MCP Server is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.