weather-service MCP server

by duan-li

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About

Claude Model Context Protocol Weather Server Example

Details

Author
duan-li
Downloads
196
Categories
Media

- Custom note:// URI scheme for accessing individual notes.
- Each note resource has name, description, and text/plain mimetype.
- summarize-notes prompt with optional style argument (brief/detailed).
- add-note tool that adds notes with name and content.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name weather-service MCP server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Configure the server in your Claude Desktop configuration file (claude_desktop_config.json) using the mcpServers section. For development, use uv --directory <path> run weather-service; for published packages, use uvx weather-service. The server then provides resources, prompts, and tools as defined.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "weather-service mcp server": {
            "mcp-weather-server-example": {
                "command": "uv",
                "args": [
                    "sync"
                ]
            }
        }
    }
}

McpServers

{
    "mcp-weather-server-example": {
        "command": "uv",
        "args": [
            "sync"
        ]
    }
}

weather-service MCP server

A MCP weather server project

Components

Resources

The server implements a simple note storage system with:
- Custom note:// URI scheme for accessing individual notes
- Each note resource has a name, description and text/plain mimetype

Prompts

The server provides a single prompt:
- summarize-notes: Creates summaries of all stored notes
- Optional "style" argument to control detail level (brief/detailed)
- Generates prompt combining all current notes with style preference

Tools

The server implements one tool:
- add-note: Adds a new note to the server
- Takes "name" and "content" as required string arguments
- Updates server state and notifies clients of resource changes

Configuration

[TODO: Add configuration details specific to your implementation]

Quickstart

Install

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

<details>
<summary>Development/Unpublished Servers Configuration</summary>

  "mcpServers": {
"weather-service": {
"command": "uv",
"args": [
"--directory",
"/Users/<you-user-name>/Codes/GitHub/weather_service",
"run",
"weather-service"
]
}
}

</details>

<details>
<summary>Published Servers Configuration</summary>

  "mcpServers": {
"weather-service": {
"command": "uvx",
"args": [
"weather-service"
]
}
}

</details>

Development

Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:

uv sync

2. Build package distributions:

uv build

This will create source and wheel distributions in the dist/ directory.

3. Publish to PyPI:

uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token: --token or UV_PUBLISH_TOKEN
- Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv --directory /Users/<your-user-name>/Codes/GitHub/weather_service run weather-service

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

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