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  3. SHEARLINE
SHEARLINE logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 9:17:58 PM

SHEARLINE

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Analyst-grade US severe weather: warnings with IBW tags, SPC outlooks, RAP environments, MRMS, LSRs

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "shearline": {
      "command": "uvx",
      "args": [
        "shearline"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

SHEARLINE

PyPI Python CI MCP Registry License: MIT

The severe-weather analyst your agent doesn't have. SHEARLINE is a free, MIT-licensed MCP server that gives AI agents analyst-grade US severe-weather tools: live warning polygons with Impact-Based Warning tags, SPC convective outlooks, RAP-derived point environments and forecast trends (CAPE/shear/SRH/STP computed with MetPy), MRMS radar-derived hail and rotation products, GOES lightning, ground-truth storm reports (real-time and historical), and a composite threat brief that synthesizes all of it. A dozen weather MCPs already wrap the basic forecast API; SHEARLINE deliberately skips everything they do and ships only what requires radar meteorology to expose correctly.

Informational only. Not a substitute for official NWS warnings. Every tool repeats this, because it matters: when weather threatens, follow official warnings from weather.gov and local authorities.

Tools

ToolWhat it returns
get_active_warnings(lat, lon, radius_km=40)Active tornado/severe-thunderstorm/flash-flood warning polygons with IBW tags (max hail size, max gust, tornado detection/damage threat), parsed storm motion, expirations, and whether the exact point is inside a polygon. Watches listed separately.
get_spc_outlook(lat, lon, day=1)SPC categorical risk (TSTMβ†’HIGH) at the point plus tornado/hail/wind probabilities and significant-severe flags, days 1–3, with interpretation calibrated to the category.
get_point_environment(lat, lon)Latest RAP 13-km analysis profile computed with MetPy: MLCAPE/MUCAPE/CINs, LCL, 0–1/0–6 km shear, 0–1/0–3 km SRH, Bunkers motion, effective inflow layer, effective SRH/shear, SCP, and significant-tornado parameter β€” interpreted like an analyst (pulse vs. cool-season high-shear vs. classic supercell parameter space).
get_environment_trend(lat, lon)The anticipatory view: a short RAP forecast series (f00/f01/f03/f06, one consistent cycle) of MLCAPE, 0–6 km shear, 0–1 km SRH, SCP and STP, with an interpretation of the trajectory (intensifying / stabilizing / steady) β€” for "is this getting worse" rather than "what is it now."
get_mrms_severe(lat, lon, radius_km=40)MRMS maxima within radius: 60-min MESH (hail, inches and mm), low-level and mid-level rotation tracks (azimuthal shear), VIL, composite reflectivity β€” each with valid time and distance/bearing of the max.
get_storm_reports(lat, lon, radius_km=80, hours=6)Normalized Local Storm Reports: type, magnitude with units, time, location, distance/bearing, remarks.
get_lightning(lat, lon, radius_km=40, minutes=15)GOES-East GLM total-lightning activity in the recent window: flash count and rate, nearest strike (distance/bearing/time), and a tiered outdoor-safety interpretation (overhead / within-striking-distance / in-the-area).
get_historical_storm_reports(lat, lon, date, radius_km=80)What hail/wind/tornado hit a point on a specific past date (YYYY-MM-DD, UTC) β€” normalized reports with magnitude+units and distance/bearing, for the insurance / ag / forensic use case. Coverage from ~2005; preliminary LSRs, not the final NCEI record.
get_threat_brief(lat, lon)The showpiece: runs everything above concurrently and synthesizes a threat level (none/marginal/elevated/significant/extreme) with stated logic, hazards ranked, environment summary, nearest storm signature, and a recommended attention window.
get_radar_snapshot(lat, lon)Nearest WSR-88D's latest Level 2 volume metadata: VCP (scan strategy), max reflectivity with range/azimuth, coarse echo-top estimate.

Every tool returns structured JSON with data (numeric fields, units stated), interpretation (plain-language analyst sentences), degraded (which upstream sources failed, if any β€” partial data instead of errors), the safety disclaimer, and a schema_version β€” the field contract is semver-stable (see ARCHITECTURE), so integrators can depend on it.

Example: threat brief during a real outbreak

Real output from 2026-06-10, point inside an active tornado warning in northern Missouri:

config.json
{
  "threat_level": "extreme",
  "threat_logic": [
    "Tornado Warning in effect at the point, corroborated by confirmed tornado reports nearby β€” treat as an immediate life-safety situation.",
    "Severe Thunderstorm Warning at the point tagged 'Considerable' (hail to 1.75\", gusts to 60 mph).",
    "Significant-tornado parameter of 4.0 with storms ongoing β€” environment strongly supports tornadic supercells.",
    "MRMS MESH of 2.3\" hail within radius in the last hour.",
    "Intense rotation track (azimuthal shear 0.013 /s) nearby in the last hour.",
    "6 tornado report(s) near the point in the report window."
  ],
  "hazards_ranked": [
    {"hazard": "tornado", "level": "extreme"},
    {"hazard": "hail", "level": "extreme"},
    {"hazard": "damaging_wind", "level": "extreme"},
    {"hazard": "flash_flood", "level": "moderate"}
  ],
  "nearest_storm_signature": {
    "signature": "composite reflectivity", "value": "58.5 dBZ",
    "distance_km": 18.0, "direction": "ENE", "valid_utc": "2026-06-10T22:14Z"
  },
  "attention_window": {"window": "now", "until_utc": "2026-06-10T21:00:00-05:00"}
}

And the same tool for a quiet coastal Maine point reads as confidently quiet β€” not as an error: "threat_level": "none" with the environment numbers shown so the agent can see why it's quiet.

Install

Requires Python 3.12+ and uv. No API keys β€” every data source is public and anonymous. uvx downloads and runs the published package in one step; nothing is installed permanently.

Claude Code:

Terminal
claude mcp add shearline -- uvx shearline

Claude Desktop (claude_desktop_config.json):

config.json
{
  "mcpServers": {
    "shearline": {
      "command": "uvx",
      "args": ["shearline"]
    }
  }
}

Streamable HTTP (for remote/agent-platform use):

sh
uvx shearline --http --port 8741
# serves at http://127.0.0.1:8741/mcp

On macOS you can also double-click scripts/launch.command to start the HTTP server in a Terminal window (honours SHEARLINE_PORT).

The HTTP transport is built to be hosted: it emits one structured JSON log line per tool call (tool, coarse 1Β° lat/lon bucket, latency, degraded list, cache hit/miss) and applies a per-client token-bucket rate limit, returning 429 with Retry-After when exceeded. Both are HTTP-only β€” stdio behaviour is unchanged. Configure via environment variables:

Env varDefaultEffect
SHEARLINE_RATE_RPM60sustained requests/minute/client (0 disables the limit)
SHEARLINE_RATE_BURST30token-bucket capacity (max burst)
SHEARLINE_HTTP_LOG1set 0 to silence per-request logging
SHEARLINE_LOG_LEVELINFOlog level for the shearline.http logger
SHEARLINE_UPSTREAM_CONCURRENCY8max concurrent upstream fetches (politeness toward NOAA)

To run the latest unreleased main instead of the PyPI release, swap shearline for --from git+https://github.com/lostnumber07/shearline shearline.

Why these tools

A forecast API tells you it might rain. None of the questions that matter on a severe weather day β€” is this storm rotating, how big is the hail, is the environment loaded for tornadoes, am I inside the polygon β€” are answerable from a forecast endpoint. They require the warning's IBW tags, radar-derived products, and a real sounding:

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about SHEARLINE

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "shearline": { "command": "npx", "args": ["-y", "SHEARLINE"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedSep 7, 2026
Views0
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36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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