A simple note storage system with a custom note:// URI scheme, allowing users to add and summarize notes.
A MCP server project
The server implements a simple note storage system with:
The server provides a single prompt:
The server implements one tool:
[TODO: Add configuration details specific to your implementation]
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
To prepare the package for distribution:
uv sync
uv build
This will create source and wheel distributions in the dist/
directory.
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
--token
or UV_PUBLISH_TOKEN
--username
/UV_PUBLISH_USERNAME
and --password
/UV_PUBLISH_PASSWORD
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/daikiwatanabe/ghq/github.com/daikw/mcp-server-on-raspi run mcp-server-on-raspi
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
Interact with Apple Notes using natural language on macOS.
Dynamically search and call tools using UnifAI Network
An MCP server for AI-to-AI collaboration, enabling autonomous workflows and role-based task management between different AI models.
Interact with Notion using its API. This server mirrors the Notion API SDK, allowing LLMs to manage pages, databases, and other Notion content.
Interact with your local Obsidian vault using a REST API.
An MCP server for interacting with various services like Slack, Harvest, and GitHub to manage activities and data.
A Python server for remote macOS control via VNC, featuring an AI-powered chat web interface.
a macOS-only MCP server that enables AI agents to capture screenshots of applications, or the entire system.
Marketing insights and audience analysis from Audiense reports, covering demographic, cultural, influencer, and content engagement analysis.
Monitors system resources in real-time, including CPU, memory, disk, network, battery, and internet speed.