mcp-network-server

# mcp-network-server MCP server MCP network server with FastAPI and Socket.IO for machine learning training coordination between multiple devices ## 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Development/Unpublished Servers Configuration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": { "mcp-network-server": { "command": "uv", "args": [ "--directory", "C:\Users\marty\Documents\PythonMCP", "run", "mcp-network-server" ] } } ``` </details> <details> <summary>Published Servers Configuration</summary> ``` "mcpServers": { "mcp-network-server": { "command": "uvx", "args": [ "mcp-network-server" ] } } ``` </details> ## Development ### Building and Publishing To prepare the package for distribution: 1. Sync dependencies and update lockfile: ```bash uv sync ``` 2. Build package distributions: ```bash uv build ``` This will create source and wheel distributions in the `dist/` directory. 3. Publish to PyPI: ```bash uv publish ``` Note: You'll need to set PyPI credentials v…