weather_service MCP サーバー logo

weather_service MCP サーバー

by Sunwood-ai-labs

The weather_service MCP server implements a simple note-saving system. It provides resources, a prompt for summarizing notes, and a tool for adding new notes.

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What is weather_service MCP サーバー?

This server is a Model Context Protocol (MCP) server that provides a simple note-saving system. It allows clients to access individual notes via a custom URI scheme, summarize all saved notes, and add new notes to the server.

How to use weather_service MCP サーバー?

To use the server, you need to configure it within the Claude Desktop application by modifying the claude_desktop_config.json file. You can choose between a development/unpublished server configuration or a published server configuration, depending on your needs. The configuration involves specifying the command and arguments to run the server.

Key features of weather_service MCP サーバー

  • Custom note:// URI scheme for accessing individual notes

  • Summarize-notes prompt with optional style argument (brief/detailed)

  • Add-note tool for adding new notes with name and content

  • Resource change notification to clients

  • Support for both development and published server configurations

Use cases of weather_service MCP サーバー

  • Note-taking applications

  • Knowledge management systems

  • Personal information management

  • Integration with AI models for note summarization and analysis

FAQ from weather_service MCP サーバー

How do I install the server?

Configuration details are provided for both MacOS and Windows. You need to modify the claude_desktop_config.json file.

What is the purpose of the 'style' argument in the summarize-notes prompt?

The 'style' argument controls the level of detail in the note summary. It can be set to 'brief' for a concise summary or 'detailed' for a more comprehensive summary.

What are the required arguments for the add-note tool?

The add-note tool requires two string arguments: 'name' and 'content'. These specify the name and content of the new note, respectively.

How can I debug the MCP server?

Debugging MCP servers can be challenging due to their execution via stdio. It is highly recommended to use the MCP Inspector tool for a better debugging experience.

How do I publish the package to PyPI?

To publish the package, use the uv publish command. Make sure to set up your PyPI credentials either through environment variables or command flags.