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sleeper-mcp

by tweiss777
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Sleeper MCP

一个面向公开 Sleeper API 的只读 Model Context Protocol 服务器。它通过异步 FastMCP 工具公开用户、联赛、阵容、比赛、交易、选秀、球员、热门动态、季后赛对阵表、被交易的选秀权以及赛事状态。

Sleeper 不需要 API 密钥。请遵守其文档中的指导，将请求频率控制在每分钟 1,000 次以内。完整的球员响应数据为几 MB，通常每天最多获取一次。

安装

需要 Python 3.11 或更高版本，以及 uv。

uv sync

Related MCP server: flaim

运行

服务器默认使用 MCP 的 stdio 传输方式：

uv run sleeper-mcp

等效的模块命令为：

uv run python -m sleeper_mcp.server

Docker

该镜像基于 alpine:latest，通过 stdio 运行 MCP 服务器。请保留 -i，以便客户端可以通过 stdin 与进程通信。

docker build -t sleeper-mcp .
docker run --rm -i sleeper-mcp

Cursor (Docker)

{
  "mcpServers": {
    "sleeper": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "sleeper-mcp"
      ]
    }
  }
}

Claude Desktop (Docker)

{
  "mcpServers": {
    "sleeper": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "sleeper-mcp"
      ]
    }
  }
}

配置 MCP 客户端

在客户端配置中使用工作区的绝对路径（或使用上面的 Docker 命令）。

Cursor

将此服务器添加到你的 Cursor MCP 配置中：

{
  "mcpServers": {
    "sleeper": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/talweiss/Desktop/codeProjects/sleeper-mcp",
        "run",
        "sleeper-mcp"
      ]
    }
  }
}

Claude Desktop

在 Claude Desktop 的配置中，将相同条目添加到 mcpServers 下：

{
  "mcpServers": {
    "sleeper": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/talweiss/Desktop/codeProjects/sleeper-mcp",
        "run",
        "sleeper-mcp"
      ]
    }
  }
}

更改配置后重启客户端。

开发

uv run pytest

该包采用分层设计：

  • client.py 负责 HTTP 相关事务以及 Sleeper 基础 URL。

  • service.py 将方法映射到有文档记录的 API 端点。

  • tools.py 将服务方法记录并公开为 MCP 工具。

  • server.py 将各层连接在一起并启动 FastMCP。

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