zettelkasten-mcp

================================================================ Start of Project Knowledge File ================================================================ Purpose: -------- This file is designed to be consumed by AI systems for analysis, review, or other automated processes. It solely serves the purpose of background information and should NOT under any circumstances leak into the user's interaction with the AI when actually USING the Zettelkasten MCP tools to process, explore or synthesize user-supplied information. Content: -------- # Example: A simple MCP server that exposes a website fetching tool. ## Usage Start the server using either stdio (default) or SSE transport: ```bash # Using stdio transport (default) uv run mcp-simple-tool # Using SSE transport on custom port uv run mcp-simple-tool --transport sse --port 8000 ``` The server exposes a tool named "fetch" that accepts one required argument: - `url`: The URL of the website to fetch ## Example Using the MCP client, you can use the tool like this using the STDIO transport: ```python import asyncio from mcp.client.session import ClientSession from mcp.client.stdio import StdioServerParameters, stdio_client async def main(): async with stdio_client( StdioServerParameters(command="uv", args=["run", "mcp-simple-tool"]) ) as (read, write): async with ClientSession(read, write) as session: await session.initialize() # List available tools tools = await session.list_tools() print(tools) # Call the fetch tool result = await session.call_tool("fetch", {"url": "https://example.com"}) print(result) asyncio.run(main()) ``` ================================================================ End of Project Knowledge File ================================================================