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configfacets_mcp

Configfacets MCP服务器是一个用于管理和配置项目的Python服务,支持通过uv工具进行依赖管理和发布。

article

README

🚀 配置facets MCP服务器

本项目提供了配置facets MCP服务器的详细步骤,帮助你快速搭建和管理相关服务。

🚀 快速开始

📦 安装指南

我们推荐使用uv来管理您的Python项目。以下是具体的安装步骤:

uv init <仓库名称>
cd <仓库名称>

接着,将Configfacets MCP服务器添加到您的项目依赖中:

uv add "configfacets-mcp"

最后,初始化您的MCP服务器,在coreconcepts.py文件中添加以下代码:

from configfacets.server import ConfigfacetsMCP

mcp_server = ConfigfacetsMCP(
    服务="myserver",
    存储库="configfacets/core-concepts",
    版本="appconfigs",
    api_key="<您的apikey>",
)
mcp_server.run()

🏗️ 构建和发布

完成安装和初始化后,您可以进行构建和发布操作:

uv build
uv publish

同时,您还需要添加如下配置:

{
    "mcpServers": {
        "configfacets": {
            "command": "uv",
            "args": [
                "--directory",
                "<绝对路径>/coreconcepts_mcp",
                "run",
                "coreconcepts.py"
            ]
        }
    }
}

通过以上步骤,您就可以成功配置和运行facets MCP服务器啦。

help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client