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PopNx MCPMCP servers for people who use AI · explained in plain words

Weather

by dingw1982version 1.0.1i★ –iRuns on your computer
Registry nameio.github.dingw1982/weather

Install

Overview

Description from the maker (original English)

An MCP server for weather information.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: YOUR_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: YOUR_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "weather": {
      "command": "npx",
      "args": [
        "-y",
        "@dingw1982/mcp-quickstart-ts"
      ],
      "env": {
        "YOUR_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add weather --env YOUR_API_KEY=your-value -- npx -y @dingw1982/mcp-quickstart-ts

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "weather": {
      "command": "npx",
      "args": [
        "-y",
        "@dingw1982/mcp-quickstart-ts"
      ],
      "env": {
        "YOUR_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "weather": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dingw1982/mcp-quickstart-ts"
      ],
      "env": {
        "YOUR_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • YOUR_API_KEY secret required env
    Your API key for the service

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account dingw1982, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32589 servers in this category
  • Published to the registry more recently than 37% of the other 32589 servers in this category
  • Basic checks equal to or better than 100% of the other 32589 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Weather safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: YOUR_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Detailing Manager

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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Detailing Manager

by RadoslavMoshev

Connect your auto detailing studio's tasks, cars, clients and revenue to Claude or ChatGPT.

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

MCP Quickstart Resources

Example servers and clients for the Model Context Protocol (MCP), in five languages. These are companion examples for two official tutorials:

  • Build an MCP server – a simple MCP weather server exposing two tools backed by the US National Weather Service API
  • Build an MCP client – an LLM-powered chatbot MCP client that connects to any stdio server and lets Claude call its tools

What's in this repository

Each example lives in its own directory with its own README covering prerequisites, setup, and how to run it:

LanguageWeather server (MCP server)Chatbot (MCP client)
Pythonweather-server-pythonmcp-client-python
TypeScriptweather-server-typescriptmcp-client-typescript
Goweather-server-gomcp-client-go
Rustweather-server-rustmcp-client-rust
Rubyweather-server-rubymcp-client-ruby

All servers communicate over stdio and expose the same two tools: get_forecast and get_alerts (or get-forecast and get-alerts in TypeScript).

All clients launch a server, list its tools, and start an interactive chat loop in which Claude can call those tools. The Python, TypeScript, and Ruby clients take a path to a server script; the Go and Rust clients take the command to run, plus any arguments.

Note: These example clients need an ANTHROPIC_API_KEY to operate. Without a key, each client still connects and lists the server's tools before exiting, so you can verify the MCP wiring without credentials.

You can mix and match across languages: for example, the Python client can drive the TypeScript server. Each client's README lists which server launch forms it supports.

The tests directory contains the smoke tests that run in CI against these examples. See tests/README.md for how they work.

Prerequisites

Each example only needs its own language toolchain. To work across the whole repository (for example, to run the smoke tests) you need:

  • Node.js 24+ and npm
  • Python 3.10+ and uv
  • Go 1.25+
  • Rust 1.88+ and Cargo
  • Ruby 3.4+ and Bundler

Running the tests

./tests/smoke-test.sh

The smoke tests verify that every server starts and answers MCP requests (including validating structured tool results against the schemas each tool advertises), and that the Python, TypeScript, and Ruby clients can connect to a mock server and list tools. They run automatically on every pull request via GitHub Actions.

Contributing

Contributions are welcome. To submit a change:

  1. Fork the repository and create a branch from main.
  2. Make your change. Keep the examples minimal - they exist to teach the protocol, not to be production services.
  3. If you change an example's behavior, setup, or dependencies, update that example's README to match.
  4. Run ./tests/smoke-test.sh and make sure it passes.
  5. Open a pull request against main describing what changed and why.

A few conventions to follow, in line with the broader Model Context Protocol contributing guidelines:

  • Keep documentation clear, concise, and technically accurate. Include code examples where appropriate, and test the commands and links you add.
  • Disclose AI assistance. If you used any kind of AI assistance to prepare your contribution, say so in the pull request or issue. See AI_POLICY.md for what the disclosure should cover.
  • Be respectful. This project follows the MCP community's Code of Conduct. Concerns can be reported to mcp-coc@anthropic.com.

Security note

These examples are intentionally minimal. If you expose an MCP server over a network (HTTP/SSE/WebSocket), add authentication and basic hardening (CORS allowlist, request size limits, timeouts, rate limits, and log redaction). See SECURITY.md.

License

The MCP project is transitioning from the MIT License to Apache-2.0. New code contributions are licensed under Apache-2.0, and documentation (excluding specifications) under CC-BY-4.0. Earlier contributions whose authors have not consented to relicensing remain under the MIT License. See LICENSE for the full terms.

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