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io.github.hoon1983/spaceweather-mcp

PYPI · SPACEWEATHER-MCP

Space weather & geomagnetic conditions (NOAA SWPC, NASA DONKI, USGS, Kyoto) via MCP.

Available components

0 this week 83 Trust /100

Last scanned (20 hours ago)

Scores higher than 86% of PyPI servers

Category Maps and Location

Trust breakdown (7 categories)

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 Security100
  • No malware found by supply-chain analysis.Pass
  • 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 22 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability79
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 1443 tokens (~96/item across 15 items; 15 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
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 15 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 16 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
What we tested

Checks we ran (16)

  • Malware scan
  • Known CVEs
  • Install scripts
  • Dependency health
  • Source repository
  • Provenance
  • License
  • Maintenance
  • Security disclosure
  • Schema quality
  • Stability
  • Tool coverage
  • Injection markers
  • Destructive annotations
  • Judged manipulation
  • MCP protocol

Does not apply to this package (2)

  • Endpoint SecurityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
  • Transport & ReachabilityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.

The score does not measure everything. What the score does not measure →

Changelog

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.

  • 4 Nov 26 +15
    • Malware scan: unverified → pass ▲ security
  • 2 Nov 26 −15
    • Malware scan: pass → unverified ▼ security
  • 1 Nov 26 +15
    • Malware scan: unverified → pass ▲ security
  • 31 Oct 26 −14
    • Malware scan: pass → unverified ▼ security
    • Stability: 0.97 → pass security
  • 30 Oct 26 −1
    • Stability: pass → 0.97 functional
  • 29 Oct 26 +15
    • Malware scan: unverified → pass ▲ security
  • 28 Oct 26 −15
    • Malware scan: pass → unverified ▼ security
  • 24 Oct 26 +1
    • Stability: 0.97 → pass security
Diagnostics

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 5 Nov 2026 · Analysed pypi/spaceweather-mcp@0.1.0

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi
Reason No attestation published

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend Known build tool hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 22 packages
Packages resolved 22
Stale 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 15 exposed · ~1,310 tokens

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 →

Tool Tokens
get_27day_outlook ~69

SWPC 27-day outlook: daily F10.7 cm radio flux, planetary Ap, largest Kp. A 4-week look-ahead driven by the ~27-day solar rotation. Coarser than the 3-day Kp forecast but useful for longer-range planning.

Input schema present but exposes no named parameters.

NameTypeReqDescription
issuedstringyes–
rowsarrayyes–

No examples provided.

get_alerts ~54

Most recent NOAA SWPC alerts, watches, and warnings (newest first). Plain-text bulletins for events like geomagnetic storm watches, radio blackouts, and solar radiation storms.

NameTypeReqDescription
limitinteger––
NameTypeReqDescription
resultarrayyes–

No examples provided.

get_aurora_forecast ~81

OVATION short-term (~30-90 min) auroral-oval forecast. Pass `latitude`/`longitude` to get the auroral activity probability (%) at that location — the "will I see aurora tonight?" answer. Without coordinates, returns the peak probability over the oval.

NameTypeReqDescription
latitude–––
longitude–––
NameTypeReqDescription
aurora_probability––Auroral activity probability (%) at the requested point.
forecast_time–––
global_max_probability––Peak probability anywhere on the oval.
latitude–––
longitude–––
notestring––
observation_time–––

No examples provided.

get_conditions_now ~94

Single-call snapshot of current space weather. Returns the latest planetary Kp, interplanetary Bz/Bt, solar wind speed and density, the current NOAA G/S/R scale levels, whether a geomagnetic storm is in progress (Kp >= 5), and a human-readable one-line summary. Best first call for "what's space weather doing right now / will I see aurora" questions.

Input schema present but exposes no named parameters.

NameTypeReqDescription
bt_nt–––
bz_nt–––
density_per_cc–––
geomagnetic_stormboolean–True when current Kp >= 5.
kp–––
kp_time–––
scale_g–––
scale_r–––
scale_s–––
solar_wind_speed_kms–––
summarystring–Human-readable one-line status.

No examples provided.

get_dst ~144

Hourly Dst (disturbance storm-time) index over the last `days`, in nT. Dst tracks the ring-current depression of a geomagnetic storm: roughly > -30 quiet, -50..-100 moderate, < -100 intense, < -250 great storm. NON-COMMERCIAL data from the WDC for Geomagnetism, Kyoto. Cite "WDC for Geomagnetism, Kyoto" and the Dst DOI; real-time/quicklook values are provisional and not licensed for commercial use. Kept separate from the public-domain NOAA/USGS feeds for this reason.

NameTypeReqDescription
daysinteger––
NameTypeReqDescription
resultarrayyes–

No examples provided.

get_kp_forecast ~49

NOAA's 3-day planetary Kp forecast (3-hour resolution). Each point is tagged observed/estimated/predicted. Useful for aurora-watch planning and anticipating geomagnetic disturbance.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultarrayyes–

No examples provided.

get_kp_index ~67

Observed planetary K-index time series (3-hour cadence, ~last week). Kp ranges 0-9; Kp >= 5 indicates a geomagnetic storm (G1+). Use for trend and history; for the single current value use `get_conditions_now`.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultarrayyes–

No examples provided.

get_noaa_scales ~71

NOAA G (geomagnetic), S (solar radiation), R (radio blackout) scales. Returns today (index 0) plus the next 3 forecast days, each with a 0-5 scale level and label. The headline 'how bad is it' summary used by SWPC.

Input schema present but exposes no named parameters.

NameTypeReqDescription
daysarrayyes–

No examples provided.

get_observatory ~151

Ground magnetometer time series for one USGS observatory (nT). `station` is an IAGA code from `list_observatories` (e.g. 'BOU'). Returns the requested field components (default X,Y,Z,F) over the last `hours`, plus the latest finite value per element. Use 60s sampling for trends, 1s for detail (heavier). Data is U.S. public domain (credit USGS); near-real-time values are preliminary.

NameTypeReqDescription
data_typestring––
elementsstring––
hoursinteger––
sampling_periodinteger––
stationstringyes–
NameTypeReqDescription
data_typestringyesvariation | adjusted | quasi-definitive | definitive
latestobject–Most recent finite value per element (nT).
latitude–––
longitude–––
name–––
sampling_period_sintegeryes–
stationstringyes–
timesarrayyes–
valuesobject–Per-element series (nT), e.g. {'X': [...], 'Y': [...]}.

No examples provided.

get_radiation_storm ~78

Current solar radiation (energetic proton) environment and NOAA S-scale. Latest GOES integral proton flux per energy threshold (pfu) plus the S (radiation storm) scale 0-5 derived from the >=10 MeV flux. Relevant to satellite operations, polar flights, and astronaut radiation exposure.

Input schema present but exposes no named parameters.

NameTypeReqDescription
flux_by_energyobject–Latest integral proton flux (pfu) per energy threshold, e.g. {'>=10 MeV': 0.3}.
radiation_stormboolean–True when S >= 1 (>=10 MeV flux >= 10 pfu).
s_scaleinteger–NOAA S (radiation storm) scale 0-5, from the >=10 MeV flux.
s_textstring––
time–––

No examples provided.

get_solar_flares ~74

Recent GOES X-ray solar flares (events with peak class C/M/X), last `days`. Discrete flare events with begin/peak/end times and peak class (e.g. 'M2.1'). Best for "biggest recent flare?" / current flare activity.

NameTypeReqDescription
daysinteger––
NameTypeReqDescription
resultarrayyes–

No examples provided.

get_solar_regions ~59

Today's active sunspot regions with C/M/X flare probabilities (NOAA SWPC). Per-region location, area, spot/magnetic class, and flare/proton probabilities. Answers "how many sunspot regions / which is most likely to flare?"

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultarrayyes–

No examples provided.

get_solar_wind ~102

Real-time solar wind from DSCOVR/ACE at L1: magnetic field + plasma. Returns `mag` (Bx/By/Bz/Bt in nT, GSM) and `plasma` (density cm^-3, speed km/s, temperature K) series for the chosen window. Sustained southward Bz (negative) plus elevated speed is the classic geomagnetic-storm driver.

NameTypeReqDescription
windowstring––
NameTypeReqDescription
magarrayyes–
plasmaarrayyes–
windowstringyes–

No examples provided.

get_space_weather_events ~155

Catalogued space-weather events from NASA DONKI (newest first). `event_type`: CME (coronal mass ejection), GST (geomagnetic storm), FLR (solar flare), SEP (solar energetic particle), IPS (interplanetary shock), HSS (high-speed stream). Each event carries a type-specific summary (e.g. GST max Kp, FLR class, CME speed) and a DONKI link for full detail. This is the structured "what space-weather events happened recently, and how are they linked?" view that complements the real-time SWPC feeds. Public domain (NASA/CCMC).

NameTypeReqDescription
daysinteger––
event_typestringyes–
NameTypeReqDescription
resultarrayyes–

No examples provided.

list_observatories ~62

The USGS-operated magnetic observatories you can query with get_observatory. Returns 3-letter IAGA codes (BOU, HON, GUA, …) with names and coordinates, so an agent can pick a station near a region of interest.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultarrayyes–

No examples provided.

Install

How do I install the io.github.hoon1983/spaceweather-mcp server?

io.github.hoon1983/spaceweather-mcp runs locally as a PyPI package, launched with uvx spaceweather-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 · spaceweather-mcp

# add to Claude Code
claude mcp add hoon1983-spaceweather-mcp -- uvx spaceweather-mcp
Common questions

What is the io.github.hoon1983/spaceweather-mcp server?

io.github.hoon1983/spaceweather-mcp is listed in the public MCP registry as io.github.hoon1983/spaceweather-mcp. Space weather & geomagnetic conditions (NOAA SWPC, NASA DONKI, USGS, Kyoto) via MCP. This page covers its PyPI package (spaceweather-mcp).

Is the io.github.hoon1983/spaceweather-mcp server safe to use?

io.github.hoon1983/spaceweather-mcp scores 83 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 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 io.github.hoon1983/spaceweather-mcp server expose?

io.github.hoon1983/spaceweather-mcp exposes 15 tools: get_conditions_now, get_kp_index, get_kp_forecast, get_solar_wind, get_alerts, and 10 more. Their descriptions and schemas cost roughly 1,310 tokens of context every time the server is loaded.

Is the io.github.hoon1983/spaceweather-mcp server still maintained?

io.github.hoon1983/spaceweather-mcp is still listed as active in the MCP registry. We last reached this channel on 5 November 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 io.github.hoon1983/spaceweather-mcp server under?

io.github.hoon1983/spaceweather-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

What did VerifyMCP test on the io.github.hoon1983/spaceweather-mcp server?

VerifyMCP ran 16 checks on io.github.hoon1983/spaceweather-mcp, covering Malware scan, Known CVEs, Install scripts, Dependency health and 12 more. Endpoint Security and Transport & Reachability do not apply to a PyPI package, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.