How do I install Make_MCP?
You can use `uv` with the provided JSON configuration, or clone the repository and point the command to your Python interpreter with `args` set to the path of `make_mcp/core.py` after installing `mcp`.
@RoryMB
基本信息
An MCP server for making MCP servers
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"make_mcp": {
"command": "/Users/rmbutler/.local/bin/uvx",
"args": [
"--from",
"git+https://github.com/RoryMB/Make_MCP@main",
"make_mcp"
]
},
"new_server": {
"command": "/Users/rmbutler/.local/bin/uv",
"args": [
"run",
"/Users/rmbutler/Downloads/new_server.py"
],
"env": {}
}
}
}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。
Make_MCP is an MCP server designed to help users create new MCP servers. It provides documentation and example code so that Claude can generate a basic MCP server script on demand.
Add Make_MCP to Claude Desktop by editing the claude_desktop_config.json file with a command pointing to uvx (or a local Python installation). After restarting Claude, enable the make_mcp server’s how_to_make_mcp tool, then ask Claude to write a new server (e.g., “Write a basic MCP server with a simple URL fetch tool”). Alternatively, attach the server’s resource manually via the “+” menu.
how_to_make_mcp tool with documentation and example codeuv and manual Python installationYou can use `uv` with the provided JSON configuration, or clone the repository and point the command to your Python interpreter with `args` set to the path of `make_mcp/core.py` after installing `mcp`.
The tool method lets Claude call `how_to_make_mcp` when needed to receive documentation. The resource method lets you manually attach the same documentation to your message, but the tool method is recommended.
After downloading the generated script, add a new entry to your `claude_desktop_config.json` with the appropriate command and arguments, restart Claude Desktop, and enable the new server’s tools.
It requires either `uv` (recommended) or a Python environment with the `mcp` package installed and accessible to your configured Python interpreter.
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