mcp▌

Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks.

Model Context Protocol (MCP) enables Claude Code plugins to integrate with external services and APIs by providing structured tool access. Use MCP integration to expose external service capabilities as tools within Claude Code.

This guide helps you configure AWS MCP tools for AI agents. Two options are available:

Complete skill for managing Model Context Protocol (MCP) servers in Nuxt applications. Setup, create, customize with middleware and handlers, review, and troubleshoot.

Goal: Keep route.ts minimal. Put logic + Zod schemas in lib/* so both the MCP handler and server actions share a single source of truth.

You are guiding a developer through designing and building an MCP server that works seamlessly with Claude. MCP servers come in many forms — picking the wrong shape early causes painful rewrites later. Your first job is discovery, not code.

User Input:

A research-to-implement pipeline that chains 5 MCP tools for end-to-end workflows.

MCP Script Rules \n When working with files in scripts/ : \n DO \n \n Use CLI arguments for all parameters (argparse) \n Include USAGE docstring at top of file \n Use call_mcp_tool(\"server__tool\", params) pattern \n Handle errors gracefully with informative messages \n Print results to stdout for Claude to process \n \n DON'T \n \n Hardcode parameters in the script \n Edit scripts to change parameters (use CLI args instead) \n Import from servers/ directly (use runtime.mcp_client) \n \n Tool N

基于 xpzouying/xiaohongshu-mcp 构建