scaflog-zoho

scaflog-zoho-mcp-server is an MCP server that exposes a simple note storage system backed by a custom note:// URI scheme. Each note has a name, a short description, and a text/plain payload. The server also offers a single prompt, summarize-notes, which creates summaries of all stored notes. You can optionally pass a style argument to control the level of detail (brief or detailed). The server provides one tool, add-note, which accepts a name and content as required inputs and updates the server state, notifying connected clients of changes. To interact with the server, you can query the custom resource endpoints or invoke the summarize-notes prompt to generate comprehensive summaries of your current notes. For debugging and development, the MCP Inspector can be used to connect to the running server and inspect prompts, tools, and resource state in real time.

Prerequisites:

• Python 3.8+ (or a compatible Python runtime)
• Access to install Python packages (pip or pipx)

Installation steps:

1. Install the MCP engine tooling (uv) if you don’t already have it:
   • Using pipx (recommended): pipx install uv
   • Or via your preferred Python package manager: pip install uv
2. Ensure Python and uv are accessible from your PATH. Verify installations:
   • python --version
   • uv --version
3. Prepare the MCP server code:
   • Clone or download the scaflog-zoho-mcp-server repository to a local directory.
4. Run the server in development mode (as shown in the Quickstart example):
   • uv run scaflog-zoho-mcp-server
5. (Optional) Use the MCP Inspector to debug:
   • npx @modelcontextprotocol/inspector uv --directory /path/to/your/mcp-servers run scaflog-zoho-mcp-server

Notes:

• The configuration shown in the README’s Quickstart demonstrates a development setup using the uv command with a --directory path. For production or publishing, you may switch to uvx with a simple package name, depending on your environment.

Tips and caveats:

• The server exposes a note storage resource with a custom URI scheme (note://) for accessing individual notes.
• The summarize-notes prompt aggregates all stored notes and can be customized with a style parameter (e.g., summarize-notes style=detailed).
• The add-note tool accepts required inputs: name and content. Use it to programmatically add notes and trigger resource state updates.
• If you plan to publish the package, you can follow the PyPI publishing steps in the Development section (uv sync, uv build, uv publish) and provide PyPI credentials via UV_PUBLISH_TOKEN or UV_PUBLISH_USERNAME/UV_PUBLISH_PASSWORD.
• For debugging, MCP Inspector provides a browser-based interface to inspect prompts, tools, and the server state. Launch via the command shown in the README to obtain a URL for debugging.
• Ensure your working directory paths are correct when configuring the uv command in your environment configuration files.