xiaohongshu
xiaohongshu
mcp-tool
Understanding the Model Context Protocol (MCP) and how to use it in Claude Code. Use when user asks about MCP, Model Context Protocol, connecting external tools, MCP servers, or extending Claude's capabilities.
Full skill instructions
MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.
MCP enables developers to connect AI models to custom tools and data sources in a standardized, interoperable manner—addressing a key need in extending Claude's capabilities beyond its base training.
The protocol integrates across multiple Anthropic offerings:
For protocol details, server/client development guidance, and community-created implementations, refer to the official MCP Documentation at modelcontextprotocol.io.
MCP tools follow the pattern: mcp__<server>__<tool>
Configure MCP tools with regex matchers in hooks:
{
"matcher": "mcp__memory__.*",
"hooks": [{"type": "command", "command": "validate.py"}]
}
MCP servers expose prompts as commands with the pattern:
/mcp__<server-name>__<prompt-name> [arguments]
These are dynamically discovered from connected MCP servers and automatically available when the server is active.
Use the /mcp built-in command to manage MCP server connections.
Plugins can include MCP servers via .mcp.json configuration for external tool integration.
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