文章摘要
The article details setting up a Claude Code MCP Server, a local Python web server implementing the Model Context Protocol (MCP). This server enhances AI-powered coding by providing detailed code context to large language models.
- It outlines prerequisites, including Python, pip, and Git, for installation and server setup.
- The tutorial covers configuring the server with an Anthropic API key and specifying relevant directories for code context.
- It demonstrates connecting various AI assistant clients, such as Cursor, VS Code with the `continue` extension, and Anthropic's Claude Desktop, to the local MCP server.
- The server facilitates sending full project context and code snippets to AI models, improving their ability to generate accurate and relevant code suggestions and completions.