WAVE MCP Server
Official@wave-av/mcp-server
MCP (模型上下文协议) 服务器,将 WAVE 流媒体 API 作为工具暴露给 AI 编程助手。
快速开始
npx @wave-av/mcp-serverRelated MCP server: ASTRA MCP Server
设置
1. 获取 API 密钥
# Via CLI
wave auth login
# Or create at https://wave.online/settings/api-keys2. 配置您的 AI 工具
添加到您的 .mcp.json (Claude Code, Cursor, Windsurf 等):
{
"mcpServers": {
"wave": {
"command": "npx",
"args": ["-y", "@wave-av/mcp-server"],
"env": {
"WAVE_API_KEY": "wave_live_..."
}
}
}
}可用工具
流 (Streams)
工具 | 描述 |
| 列出所有流,支持分页和状态过滤 |
| 创建带有协议和隐私选项的新流 |
| 启动现有流 |
| 停止活动流 |
| 获取流的实时健康指标 |
演播室 (Studio)
工具 | 描述 |
| 列出演播室制作会话 |
| 创建新的多机位制作 |
分析 (Analytics)
工具 | 描述 |
| 获取当前观众人数和细分数据 |
| 获取详细的流性能指标 |
计费 (Billing)
工具 | 描述 |
| 获取当前订阅计划和状态 |
| 获取当前周期的使用量和限额 |
资源
通过 wave:// URI 方案直接访问 WAVE 实体:
wave://streams/{id}- 流配置和状态wave://productions/{id}- 演播室制作详情
环境变量
变量 | 必需 | 默认值 | 描述 |
| 是 | - | 您的 WAVE API 密钥 |
| 否 |
| API 基础 URL |
其他 AI 工具的设置
Cursor
添加到 .cursor/mcp.json:
{
"mcpServers": {
"wave": {
"command": "npx",
"args": ["-y", "@wave-av/mcp-server"],
"env": { "WAVE_API_KEY": "wave_live_..." }
}
}
}Windsurf
使用相同的配置添加到 Windsurf MCP 设置中。
故障排除
服务器无法启动
验证您的 API 密钥是否已设置:
echo $WAVE_API_KEY工具未显示
添加 MCP 配置后重启您的 AI 工具。大多数工具需要重启才能检测到新的 MCP 服务器。
连接错误
MCP 服务器使用 stdio 传输(无网络监听器)。如果您看到连接错误,请检查 npx 是否可以成功运行:
npx @wave-av/mcp-server --version测试服务器
发送 JSON-RPC 初始化请求进行验证:
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}' | npx @wave-av/mcp-server相关包
@wave-av/sdk — TypeScript SDK (34 个 API 模块)
@wave-av/adk — 智能体开发工具包
@wave-av/cli — 命令行界面
@wave-av/create-app — 构建新项目脚手架
OpenAPI 规范 — 完整 API 规范
开发
cd packages/mcp-server
pnpm install
pnpm run build
pnpm run dev # Watch mode
pnpm run type-check许可证
MIT
Maintenance
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If you are the server author, to access and configure the admin panel.
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