NOAA NDBC MCP Server
PYPI · NDBC-MCP · SCANNED SEP 20
NOAA National Data Buoy Center observations: waves, SST, wind, pressure from 1,300+ stations
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 Usability63
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1118 tokens (~139/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 NDBC MCP Server server?
NOAA NDBC MCP Server runs locally as a PyPI package, launched with uvx ndbc-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 · ndbc-mcp
claude mcp add mansurjisan-ndbc-mcp -- uvx ndbc-mcp
{
"mcpServers": {
"mansurjisan-ndbc-mcp": {
"command": "uvx",
"args": [
"ndbc-mcp"
]
}
}
} {
"servers": {
"mansurjisan-ndbc-mcp": {
"command": "uvx",
"args": [
"ndbc-mcp"
]
}
}
} codex mcp add mansurjisan-ndbc-mcp -- uvx ndbc-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"mansurjisan-ndbc-mcp": {
"type": "local",
"command": [
"uvx",
"ndbc-mcp"
],
"enabled": true
}
}
} openclaw mcp add mansurjisan-ndbc-mcp --command uvx --arg ndbc-mcp
mcp_servers:
mansurjisan-ndbc-mcp:
command: "uvx"
args: ["ndbc-mcp"] {
"McpServers": {
"mansurjisan-ndbc-mcp": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"ndbc-mcp"
]
}
}
} assistant mcp add mansurjisan-ndbc-mcp -t stdio -c uvx -a ndbc-mcp
{
"mcpServers": {
"mansurjisan-ndbc-mcp": {
"command": "uvx",
"args": [
"ndbc-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 −18
- Malware scan: pass → unverified ▼ security
- Stability: pass → 0.80 functional
- 17 Sept 26 0
- Stability: 0.97 → pass security
- 16 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 14 Sept 26 −14
- Malware scan: pass → unverified ▼ security
- 12 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 11 Sept 26 −3
- Stability: pass → 0.80 functional
- 10 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 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/ndbc-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 →
ndbc_compare_stations ~92
Compare latest observations from multiple NDBC stations side by side. Args: station_ids: List of NDBC station IDs to compare (2-10 stations, e.g., ['41001', '41002', '44013']). response_format: Output format — 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| response_format | string | – | – |
| station_ids | array | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ndbc_find_nearest_stations ~200
Find NDBC stations nearest to a geographic coordinate. Args: latitude: Latitude in decimal degrees (e.g., 40.7). longitude: Longitude in decimal degrees (e.g., -74.0). radius_km: Search radius in kilometers (default 200). station_type: Optional filter by platform type (e.g., 'buoy'). has_met: If true, only stations with meteorological sensors. limit: Maximum number of stations to return (default 5). response_format: Output format — 'markdown' (default) or 'geojson' (a FeatureCollection of Point features, coordinates [lon, lat]).
| Name | Type | Req | Description |
|---|---|---|---|
| has_met | – | – | – |
| latitude | number | yes | – |
| limit | integer | – | – |
| longitude | number | yes | – |
| radius_km | number | – | – |
| response_format | string | – | – |
| station_type | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ndbc_get_daily_summary ~137
Get daily min/max/mean statistics for key variables over recent days. Args: station_id: NDBC station ID (e.g., '41001', '46042'). days: Number of days to summarize (default 7, max 45). variables: Variables to include (default: WSPD, GST, WVHT, DPD, PRES, ATMP, WTMP). response_format: Output format — 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| days | integer | – | – |
| response_format | string | – | – |
| station_id | string | yes | – |
| variables | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ndbc_get_latest_observation ~102
Get the latest observation from an NDBC station. Returns all available variables (wind, waves, temperature, pressure, etc.) as key-value pairs. Args: station_id: NDBC station ID (e.g., '41001', '46042', 'TPLM2'). response_format: Output format — 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| response_format | string | – | – |
| station_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ndbc_get_observations ~216
Get time series observations from an NDBC station. Data covers the last 45 days (rolling), updated every ~10 minutes. Args: station_id: NDBC station ID (e.g., '41001', '46042'). hours: Number of hours to retrieve (default 24, max 1080 = 45 days). variables: Optional list of variables to include (e.g., ['WSPD', 'WVHT', 'WTMP']). Default: all available. response_format: Output format — 'markdown' (default) or 'json'. max_records: Cap on JSON records returned (default 2000). A long hours window is thousands of points; only the most recent max_records are kept, and the JSON flags any truncation. (Markdown is already capped.)
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | – | – |
| max_records | integer | – | – |
| response_format | string | – | – |
| station_id | string | yes | – |
| variables | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ndbc_get_station ~55
Get metadata for a specific NDBC station. Args: station_id: NDBC station ID (e.g., '41001', '46042', 'TPLM2').
| Name | Type | Req | Description |
|---|---|---|---|
| station_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ndbc_get_wave_summary ~162
Get spectral wave summary from an NDBC station. Provides swell and wind-wave separation from the .spec file. Args: station_id: NDBC station ID (e.g., '41001', '46042'). hours: Number of hours to retrieve (default 24, max 1080). response_format: Output format — 'markdown' (default) or 'json'. max_records: Cap on JSON records returned (default 2000). Only the most recent max_records are kept, and the JSON flags any truncation. (Markdown is already capped.)
| Name | Type | Req | Description |
|---|---|---|---|
| hours | integer | – | – |
| max_records | integer | – | – |
| response_format | string | – | – |
| station_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ndbc_list_stations ~154
List active NDBC stations with optional filters. Args: station_type: Filter by platform type (e.g., 'buoy', 'fixed', 'dart', 'cman', 'tides', 'oilrig'). owner: Filter by station owner string (case-insensitive substring match, e.g., 'NDBC', 'Environment Canada'). has_met: If true, only stations with meteorological sensors. limit: Maximum stations to return (default 50). offset: Number of stations to skip for pagination (default 0).
| Name | Type | Req | Description |
|---|---|---|---|
| has_met | – | – | – |
| limit | integer | – | – |
| offset | integer | – | – |
| owner | – | – | – |
| station_type | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
What is the NOAA NDBC MCP Server server?
NOAA NDBC MCP Server is listed in the public MCP registry as io.github.mansurjisan/ndbc-mcp. NOAA National Data Buoy Center observations: waves, SST, wind, pressure from 1,300+ stations. This page covers its PyPI package (ndbc-mcp).
Is the NOAA NDBC MCP Server server safe to use?
NOAA NDBC MCP Server scores 56 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 NDBC MCP Server server expose?
NOAA NDBC MCP Server exposes 8 tools: ndbc_get_daily_summary, ndbc_compare_stations, ndbc_get_latest_observation, ndbc_get_observations, ndbc_get_wave_summary, and 3 more. Their descriptions and schemas cost roughly 1,118 tokens of context every time the server is loaded.
Is the NOAA NDBC MCP Server server still maintained?
NOAA NDBC 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.