根据Anthropic官方文档，天气MCP示例使用uv作为工具创建虚拟环境并搭建服务，步骤如下：

# Create a new directory for our project
uv init weather
cd weather

# Create virtual environment and activate it
uv venv
source .venv/bin/activate

# Install dependencies
uv add "mcp[cli]" httpx

# Create our server file
touch weather.py

随后按照文档要求创建weather.py文件，最后在Cursor设置中配置mcp.json文件：

{
    "mcpServers": {
        "weather": {
            "command": "uv",
            "args": [
                "--directory",
                "/ABSOLUTE/PATH/TO/PARENT/FOLDER/weather",
                "run",
                "weather.py"
            ]
        }
    }
}

我尝试使用pipenv替代uv搭建项目，安装了所需依赖并使用相同的weather.py文件，操作步骤如下：

# Create a directory for the project
mkdir weather
cd weather

# Create virtual environment
pipenv install --python=3.11

# Install dependencies
pipenv install "mcp[cli]" httpx

# Create our server file
touch weather.py

完成项目搭建、依赖下载和代码编写后，我配置了如下mcp.json文件：

{
  "mcpServers": {
      "weather": {
          "command": "pipenv",
          "args": ["run","python","weather.py"]
      }
  }
}

配置完成后，在Cursor的MCP服务器设置中出现“Failed to create client”错误。我已确保Python版本和依赖与官方示例一致，仅替换了uv为pipenv，请问无法使用pipenv配合MCP的原因是什么？

内容的提问来源于stack exchange，提问作者Raymond Yu