What is the note URI scheme?
The server implements a custom `note://` URI scheme for accessing individual notes. Each note resource has a name, description, and `text/plain` mimetype.
@non-dirty
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-client-and-server": {
"command": "uv",
"args": [
"sync"
]
}
}
}Adds a new note to the server
mcp-client-and-server is a Model Context Protocol (MCP) server that implements both client and server roles to chain together between MCP clients and servers. It provides a simple note storage system with resources, prompts, and tools, and is built using Python with uv.
Configure the server in your Claude Desktop configuration file (JSON) under mcpServers. For development, use uv with a directory argument; for published versions, use uvx mcp-client-and-server. Run the server via command line: uv run mcp-client-and-server or uvx mcp-client-and-server.
note:// URI scheme for accessing individual notessummarize-notes prompt with optional style argument (brief/detailed)add-note tool to add new notes with name and contentuvThe server implements a custom `note://` URI scheme for accessing individual notes. Each note resource has a name, description, and `text/plain` mimetype.
It provides one tool: `add-note`, which requires `name` and `content` as required string arguments. Adding a note updates server state and notifies clients of resource changes.
A single `summarize-notes` prompt that creates summaries of all stored notes. It accepts an optional `style` argument to control detail level (brief or detailed).
Install via PyPI using `uvx`. For Claude Desktop, add the configuration under `mcpServers` in `claude_desktop_config.json`. Use `uv --directory <path> run` for development and `uvx mcp-client-and-server` for published versions.
Debug over stdio using the MCP Inspector. Run `npx @modelcontextprotocol/inspector uv --directory <path> run mcp-client-and-server` and access the provided URL in a browser.
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

Model Context Protocol Servers
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
评论