NOAA Recon MCP Server
PYPI · RECON-MCP · SCANNED OCT 4
Hurricane reconnaissance data — HDOB flight observations, Vortex Data Messages, SFMR, and ATCF fixes
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 build step with no custom scripting around it. View diagnostics → Pass
- 1 of 31 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to oceanmodeling/ocean-mcp). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 3 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability63
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1781 tokens (~296/item across 6 items; 6 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 Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
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 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 6 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
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
How do I install the NOAA Recon MCP Server server?
NOAA Recon MCP Server runs locally as a PyPI package, launched with uvx recon-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 · recon-mcp
claude mcp add oceanmodeling-recon-mcp -- uvx recon-mcp
{
"mcpServers": {
"oceanmodeling-recon-mcp": {
"command": "uvx",
"args": [
"recon-mcp"
]
}
}
} {
"servers": {
"oceanmodeling-recon-mcp": {
"command": "uvx",
"args": [
"recon-mcp"
]
}
}
} codex mcp add oceanmodeling-recon-mcp -- uvx recon-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"oceanmodeling-recon-mcp": {
"type": "local",
"command": [
"uvx",
"recon-mcp"
],
"enabled": true
}
}
} openclaw mcp add oceanmodeling-recon-mcp --command uvx --arg recon-mcp
mcp_servers:
oceanmodeling-recon-mcp:
command: "uvx"
args: ["recon-mcp"] {
"McpServers": {
"oceanmodeling-recon-mcp": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"recon-mcp"
]
}
}
} assistant mcp add oceanmodeling-recon-mcp -t stdio -c uvx -a recon-mcp
{
"mcpServers": {
"oceanmodeling-recon-mcp": {
"command": "uvx",
"args": [
"recon-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.
- 1 Oct 26 62
First indexed and scored.
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 4 Oct 2026 · Analysed pypi/recon-mcp@0.1.2
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | oceanmodeling/ocean-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/oceanmodeling/ocean-mcp/.github/workflows/publish.yml@refs/tags/recon-mcp-v0.1.2 |
| Rekor log index | 3034674187 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:6d44b19d9490fe2a23a8a500cdd76c9c9359cca2537460810e89604d5adf5166 |
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 31 packages
| Packages resolved | 31 |
|---|---|
| No linked repository | 1 |
| 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 →
recon_get_fixes ~230
Get ATCF f-deck aircraft fix data for a tropical cyclone. F-deck data contains structured aircraft and satellite position fixes including lat/lon, wind speed, and pressure. This is the most machine-readable format for reconnaissance fix data. Args: basin: Basin code — 'al' (Atlantic), 'ep' (East Pacific), or 'cp' (Central Pacific). storm_number: Storm number within the season (e.g., 14 for AL142024). year: 4-digit year (e.g., 2024). max_records: Cap on fix records returned (default 2000). The f-deck is served chronologically oldest-first, so only the most recent max_records fixes are kept, and the output flags any truncation. response_format: Output format — 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| basin | string | yes | – |
| max_records | integer | – | – |
| response_format | string | – | – |
| storm_number | integer | yes | – |
| year | integer | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
recon_get_hdobs ~263
Get HDOB (High Density Observation) flight-level reconnaissance data. HDOB bulletins contain 30-second averaged observations from hurricane hunter aircraft including flight-level winds, SFMR surface winds, pressure, temperature, and position. This is the primary real-time reconnaissance data feed. Args: year: Year of data (e.g., 2024). basin: Basin — 'al' (Atlantic, default), 'ep' (East Pacific), or 'cp' (Central Pacific). month: Optional month filter (1-12). day: Optional day filter (1-31). limit: Maximum number of HDOB bulletins to parse (default 20). max_records: Cap on observations returned (default 2000). Bulletins are already fetched newest-first, so only the most recent max_records observations are kept, and the output flags any truncation. response_format: Output format — 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| basin | string | – | – |
| day | – | – | – |
| limit | integer | – | – |
| max_records | integer | – | – |
| month | – | – | – |
| response_format | string | – | – |
| year | integer | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
recon_get_sfmr ~473
Get SFMR radial wind profile for a storm — surface wind speed vs. distance from center. Downloads SFMR NetCDF data from the AOML archive and computes each observation's radial distance from the storm center using the ATCF best track. Returns binned wind statistics (mean, max, count) by radius. Requires the storm's ATCF identifiers (basin + storm_number) to fetch the best track for radius computation. Note: AOML posts data weeks to months after storms. Recent storms may not have SFMR data available yet. Args: year: Year of the storm (e.g., 2022). storm_name: Lowercase storm name (e.g., 'ian', 'laura'). storm_number: ATCF storm number within the season (e.g., 9 for AL09). basin: Basin code — 'al' (Atlantic, default), 'ep' (East Pacific). filename: Specific SFMR filename to process. If None, processes up to max_records files. bin_size_km: Radial bin width in km (default 5). max_radius_km: Maximum radius to include in km (default 500). max_records: Cap on SFMR NetCDF files downloaded and processed (default 10). Each file triggers a network download and NetCDF parse, so unlike other recon tools' output caps this also bounds request volume — files are decoded and sorted by their embedded flight date, and the most recent max_records are kept. (AOML's raw directory listing is grouped by agency prefix, e.g. all AFRC_* entries before NOAA_*, not chronological order, so the date must be decoded from each filename first.) Ignored when filename is given. response_format: Output format — 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| basin | string | – | – |
| bin_size_km | number | – | – |
| filename | – | – | – |
| max_radius_km | number | – | – |
| max_records | integer | – | – |
| response_format | string | – | – |
| storm_name | string | yes | – |
| storm_number | integer | yes | – |
| year | integer | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
recon_get_vdms ~298
Get Vortex Data Messages (VDMs) — storm center fix reports from recon aircraft. VDMs contain the most operationally critical reconnaissance data: center position, minimum sea-level pressure, max flight-level and surface winds, eye diameter, and storm structure. Each VDM represents a single pass through or near the storm center. Args: year: Year of data (e.g., 2024). basin: Basin — 'al' (Atlantic, default), 'ep' (East Pacific), or 'cp' (Central Pacific). storm_id: Optional storm ID filter (e.g., 'AL142024' for Milton). month: Optional month filter (1-12). day: Optional day filter (1-31). limit: Maximum number of VDMs to parse (default 50). max_records: Cap on VDMs returned (default 2000). Files are already fetched newest-first, so only the most recent max_records VDMs are kept, and the output flags any truncation. response_format: Output format — 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| basin | string | – | – |
| day | – | – | – |
| limit | integer | – | – |
| max_records | integer | – | – |
| month | – | – | – |
| response_format | string | – | – |
| storm_id | – | – | – |
| year | integer | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
recon_list_missions ~289
List available reconnaissance data files from the NHC archive. Browse the NHC reconnaissance archive directory for HDOB, VDM, or dropsonde bulletins. Use this to discover what data files exist before fetching specific observations. Args: year: Year to search (e.g., 2024). product: Data product type — 'hdob', 'vdm', or 'dropsonde'. basin: Basin — 'al' (Atlantic, default), 'ep' (East Pacific), or 'cp' (Central Pacific). month: Optional month filter (1-12) to narrow results by filename date. day: Optional day filter (1-31) to narrow results by filename date. limit: Maximum number of files to return (default 50). max_records: Cap on files returned (default 2000). Entries are already sorted newest-filename-first, so only the most recent max_records files are kept, and the output flags any truncation. response_format: Output format — 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| basin | string | – | – |
| day | – | – | – |
| limit | integer | – | – |
| max_records | integer | – | – |
| month | – | – | – |
| product | string | yes | – |
| response_format | string | – | – |
| year | integer | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
recon_list_sfmr ~228
List available SFMR NetCDF files for a storm from the AOML archive. SFMR (Stepped-Frequency Microwave Radiometer) files contain 1-Hz surface wind speed and rain rate observations from hurricane hunter aircraft. Data is post-processed and quality-controlled by AOML/HRD. Note: AOML posts data weeks to months after storms. Recent storms may not have SFMR data available yet. Args: year: Year of the storm (e.g., 2022). storm_name: Lowercase storm name (e.g., 'ian', 'laura'). max_records: Cap on files returned in JSON output (default 2000). Files are listed oldest-first, so only the most recent max_records are kept, and the output flags any truncation. response_format: Output format — 'markdown' (default) or 'json'.
| Name | Type | Req | Description |
|---|---|---|---|
| max_records | integer | – | – |
| response_format | string | – | – |
| storm_name | string | yes | – |
| year | integer | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
What is the NOAA Recon MCP Server server?
NOAA Recon MCP Server is listed in the public MCP registry as io.github.oceanmodeling/recon-mcp. Hurricane reconnaissance data, HDOB flight observations, Vortex Data Messages, SFMR, and ATCF fixes. This page covers its PyPI package (recon-mcp).
Is the NOAA Recon MCP Server server safe to use?
NOAA Recon MCP Server scores 62 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 October 2026. Its build provenance is signed and verified. 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 Recon MCP Server server expose?
NOAA Recon MCP Server exposes 6 tools: recon_get_fixes, recon_get_hdobs, recon_list_missions, recon_list_sfmr, recon_get_sfmr, recon_get_vdms. Their descriptions and schemas cost roughly 1,781 tokens of context every time the server is loaded.
Is the NOAA Recon MCP Server server still maintained?
NOAA Recon MCP Server is still listed as active in the MCP registry. We last reached this channel on 4 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the NOAA Recon MCP Server server under?
NOAA Recon MCP Server declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.