MS-Lucidia-Voice-Gateway-MCP

# mcp-ollama-link MCP server Initiate Ollama queries via Claude. ## 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Development/Unpublished Servers Configuration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-ollama-link": { "command": "uv", "args": [ "--directory", "C:\Users\ktrua\source\repos\mcp-ollama-link", "run", "mcp-ollama-link" ] } } ``` </details> <details> <summary>Published Servers Configuration</summary> ``` "mcpServers": { "mcp-ollama-link": { "command": "uvx", "args": [ "mcp-ollama-link" ] } } ``` </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 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](https://github.com/modelcontextprotocol/inspector). You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command: ```bash npx @modelcontextprotocol/inspector uv --directory C:\Users\ktrua\source\repos\mcp-ollama-link run mcp-ollama-link ``` Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.