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  3. Weathersight
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Weathersight

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.
View RepositoryVisit Website

Historical weather and climate: 100+ years of station data, normals, extremes, and trends.

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.

Add to CursorAdd to VS Code
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": {
    "weathersight": {
      "command": "npx",
      "args": [
        "-y",
        "weathersight"
      ]
    }
  }
}

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

Weathersight MCP Connector

Connect Claude β€” or any MCP client β€” to Weathersight: 100+ years of station observations, typical-weather climatology, anomalies, extremes, degree days, and long-term climate trends for locations worldwide.

This is a remote MCP server. There is nothing to install.

Code
https://weathersight.io/api/mcp

Connect

Claude (Desktop or web)

  1. Settings β†’ Connectors β†’ Add custom connector
  2. URL: https://weathersight.io/api/mcp
  3. Connect, then sign in when prompted

Signing in creates your Weathersight API token automatically if you don't already have one, and starts a free trial. Existing token holders keep the token they already have.

Other MCP clients

Point the client at the same URL. The server speaks Streamable HTTP (spec 2025-03-26) and authenticates with OAuth 2.0 authorization-code + PKCE, including dynamic client registration β€” no manual credential setup.

What you can ask

  • "What's the typical weather in Reykjavik in late September?"
  • "Has Bengaluru's monsoon onset shifted over the last 40 years?"
  • "Which US cities broke heat records last week?"
  • "Compare this July in Madrid to its 1991–2020 baseline."

Managing your connection

  • Your token and plan: https://weathersight.io/subscription
  • API reference: https://weathersight.io/docs

If the connector stops returning data, your client will usually prompt you to sign in again. If it reports that your plan has lapsed, visit the subscription page above β€” the connector and token resume working once a plan is active.

About this repository

This repo is the public home of Weathersight's MCP Registry entry. server.json is the metadata record that tells the registry β€” and the directories that mirror it β€” what this server is called, where it lives, and how to reach it.

The connector itself is served from the Weathersight application.

License

MIT β€” see LICENSE.

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

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Reviews

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Frequently Asked Questions about Weathersight

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

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How 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 ownership8/20
Documentation & tools11/30
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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