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Brev

Official
by brevdev
GitHub
Python
3
  • Apple
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简短 MCP 服务器

这是 Brev 的 MCP 服务器实现。

配置

MCP 服务器使用 Brev CLI 的 API 访问令牌和当前设置的 org。

如果尚未下载 CLI 并登录，请按照Brev 文档进行操作。

如果你想切换你的 Brev 组织，请运行brev set <org-name>

CLI 访问令牌每小时过期一次。如果遇到任何 403 错误，只需运行brev ls即可刷新访问令牌。

快速入门

在本地设置存储库

git clone git@github.com:brevdev/brev-mcp.git

安装 uv

遵循uv 安装指南

克劳德桌面

在 MacOS 上： ~/Library/Application\ Support/Claude/claude_desktop_config.json在 Windows 上： %APPDATA%/Claude/claude_desktop_config.json

将以下内容添加到您的claude_desktop_config.json中：

"mcpServers": { "brev_mcp": { "command": "uv", "args": [ "--directory", "<path-to-repo>", "run", "brev-mcp" ] } }

发展

构建和发布

准备分发包：

  1. 同步依赖项并更新锁文件：
uv sync
  1. 构建软件包分发版：
uv build

这将在dist/目录中创建源和轮子分布。

  1. 发布到 PyPI：
uv publish

注意：您需要通过环境变量或命令标志设置 PyPI 凭据：

  • 令牌： --token或UV_PUBLISH_TOKEN
  • 或用户名/密码： --username / UV_PUBLISH_USERNAME和--password / UV_PUBLISH_PASSWORD

调试

由于 MCP 服务器通过 stdio 运行，调试起来可能比较困难。为了获得最佳调试体验，我们强烈建议使用MCP Inspector 。

您可以使用以下命令通过npm启动 MCP Inspector：

npx @modelcontextprotocol/inspector uv --directory /Users/tmontfort/Brev/repos/brev_mcp run brev-mcp

启动后，检查器将显示一个 URL，您可以在浏览器中访问该 URL 以开始调试。

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A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

local-only server

The server can only run on the client's local machine because it depends on local resources.

Tools

在云端运行、构建、训练和部署 ML 模型。

  1. 配置
    1. 快速入门
      1. 在本地设置存储库
      2. 安装 uv
    2. 发展
      1. 构建和发布
      2. 调试

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