What are the prerequisites?
Python 3.8+, access to Claude AI API credentials, and a basic understanding of REST APIs.
@gabrieldsguilherme
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-server-gabrieldsguilherme": {
"command": "uv",
"args": [
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A ready-to-use implementation of the Model Context Protocol (MCP) server that integrates with Claude AI models. It allows you to connect Claude AI models through a standardized protocol, process context-aware requests, handle model responses efficiently, and streamline AI integrations in your applications.
Clone the repository, create and activate a virtual environment with uv venv, install dependencies (uv add "mcp[cli]" httpx), then update your Claude Desktop configuration file (claude_desktop_config.json) with the MCP server definition. Restart Claude for Desktop and directly ask Claude questions such as weather queries.
Python 3.8+, access to Claude AI API credentials, and a basic understanding of REST APIs.
Open `~/Library/Application Support/Claude/claude_desktop_config.json` and add a JSON entry specifying the command and arguments to run the server (e.g., with `uv`). Save the file and restart Claude for Desktop.
The server depends on `mcp[cli]` and `httpx`, installed via `uv add`.
After saving the configuration and restarting Claude for Desktop, you can ask Claude questions like “What’s the weather in Sacramento?” to interact with the MCP server.
On macOS, it is at `~/Library/Application Support/Claude/claude_desktop_config.json`. Create the file if it doesn’t exist.
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