What can you do with this server?

The WAVE MCP server exposes WAVE streaming APIs as MCP tools for AI coding assistants, enabling management across 5 domains: Stream Management * List, create, start, and stop streams (with status filtering and pagination) * Create streams with protocol (webrtc, srt, rtmp, hls), region, recording, and description options * Monitor real-time stream health: bitrate, frame rate, and latency Studio / Productions * List and create multi-camera studio productions (with layout options: single, split, pip, grid, custom) * Switch live program output between camera sources with transition effects (cut, mix, wipe, dve) * Control PTZ cameras: pan, tilt, zoom, focus, and recall/store presets * Show, hide, or update HTML5 graphics overlays on a production Analytics * Get current viewer counts and optional geographic/device demographics per stream or account-wide * Retrieve detailed stream performance metrics (bitrate, latency, quality scores, error rates) over configurable time periods and granularity Billing & Usage * View current subscription plan, billing cycle, and feature entitlements * Check billing-period consumption (streaming minutes, storage, bandwidth) with summary or detailed breakdowns Production Tools * Create clips from recorded streams by time range, with optional export to TikTok, YouTube Shorts, Instagram Reels, or Twitter * Mark highlights in a live stream for later clipping (with optional AI confidence score) * Moderate live chat messages: block, flag, or allow with an optional reason * Start real-time captions/transcription using Deepgram, AssemblyAI, or Cohere

How do I use WAVE MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@WAVE MCP Server Check the health and viewer count of my active stream" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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WAVE MCP Server

Official

by wave-av

Overview Schema Related Servers Score Discussions

TypeScript

Remote

@wave-av/mcp-server

MCP (Model Context Protocol) server that exposes WAVE streaming APIs as tools for AI coding assistants (Claude Code, Cursor, Windsurf).

kind domain lang visibility phase

Live → · docs · npm · repo · Docs · Status

This README is machine-generated from WAVE's grounded Single Source of Truth — every factual claim below traces to a resolver that npm run verify checks against the live repo and live endpoints. Nothing here is asserted without a receipt.

Quick start

npx @wave-av/mcp-server

{
  "mcpServers": {
    "wave": {
      "command": "npx",
      "args": ["-y", "@wave-av/mcp-server"],
      "env": {
        "WAVE_API_KEY": "wave_live_..."
      }
    }
  }
}

Related MCP server: ASTRA MCP Server

Setup

1. Get an API key

# Via CLI
wave auth login

# Or create at https://wave.online/settings/api-keys

2. Configure your AI tool

Add to your .mcp.json (Claude Code, Cursor, Windsurf, etc.) — see the Quick start config above.

Available tools — Streams

Tool	Description
`wave_list_streams`	List all streams with pagination and status filtering
`wave_create_stream`	Create a new stream with protocol and privacy options
`wave_start_stream`	Start streaming on an existing stream
`wave_stop_stream`	Stop an active stream
`wave_get_stream_health`	Get real-time health metrics for a stream

Available tools — Studio

Tool	Description
`wave_list_productions`	List studio production sessions
`wave_create_production`	Create a new multi-camera production

Available tools — Analytics

Tool	Description
`wave_get_viewers`	Get current viewer count and breakdown
`wave_get_stream_metrics`	Get detailed stream performance metrics

Available tools — Billing

Tool	Description
`wave_get_subscription`	Get current subscription plan and status
`wave_get_usage`	Get current period usage and limits

Resources

Access WAVE entities directly via the wave:// URI scheme:

wave://streams/{id} - Stream configuration and status
wave://productions/{id} - Studio production details

Environment variables

Variable	Required	Default	Description
`WAVE_API_KEY`	Yes	-	Your WAVE API key
`WAVE_BASE_URL`	No	`https://wave.online`	API base URL

In-process (Claude Agent SDK) mode

For consumers already running inside a Claude Agent SDK session, the same tools are available in-process — skipping the stdio subprocess hop (~50 ms vs ~500 ms cold start). The tool list is shared with the stdio server (src/tools/index.ts), so the two transports never drift.

@anthropic-ai/claude-agent-sdk is an optional peer dependency: stdio users never need it. Install it only for this mode:

npm install @wave-av/mcp-server @anthropic-ai/claude-agent-sdk

import { query } from "@anthropic-ai/claude-agent-sdk";
import { createWaveSdkMcpServer } from "@wave-av/mcp-server/sdk-server";

const wave = await createWaveSdkMcpServer();
for await (const message of query({
  prompt: "List my active streams",
  options: { mcpServers: { wave }, env: { WAVE_API_KEY: process.env.WAVE_API_KEY } },
})) {
  // handle messages
}

Setup for other AI tools

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "wave": {
      "command": "npx",
      "args": ["-y", "@wave-av/mcp-server"],
      "env": { "WAVE_API_KEY": "wave_live_..." }
    }
  }
}

Windsurf

Add to Windsurf MCP settings with the same configuration.

Troubleshooting

Server not starting

Verify your API key is set:

echo $WAVE_API_KEY

Tools not appearing

Restart your AI tool after adding the MCP configuration. Most tools require a restart to detect new MCP servers.

Connection errors

The MCP server uses stdio transport (no network listener). If you see connection errors, check that npx can run successfully:

npx @wave-av/mcp-server --version

Testing the server

Send a JSON-RPC initialize request to verify:

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

@wave-av/sdk — TypeScript SDK (34 API modules)
@wave-av/adk — Agent Developer Kit
@wave-av/cli — Command-line interface
@wave-av/create-app — Scaffold a new project
OpenAPI spec — Full API specification

Development

cd packages/mcp-server
pnpm install
pnpm run build
pnpm run dev       # Watch mode
pnpm run type-check

License

MIT

Capabilities

Capability	Status
Control a PTZ camera (pan, tilt, zoom, focus, preset recall/store).
Create a clip from a recorded stream, optionally exporting to social platforms.
Create a new multi-camera studio production.
Create a new stream (protocol, recording, region options).
Get real-time stream health metrics (bitrate, frame rate, latency).
Get detailed stream performance metrics (bitrate, latency, quality, error rates).
Get current subscription plan, billing cycle, and feature entitlements.
Get current billing-period usage (streaming minutes, storage, bandwidth).
Get current viewer count and viewer demographics for a stream or account-wide.
List all studio productions in the WAVE account.
List all streams in the WAVE account with pagination and status filtering.
Mark a moment in a stream as a highlight for later clipping.
Moderate a chat message in a live stream (block, flag, or allow).
Show, hide, or update an HTML5 graphics overlay on a production.
Start real-time captions/transcription on a stream.
Start a stream by ID, transitioning it to the active state.
Stop an active stream by ID.
Switch the live program output to a different camera/source in a Cloud Switcher session.

For AI agents

Exposes the MCP tool wave-mcp-server over stdio.

The receipts

Every claim below is checked by npm run verify against the live repo or endpoint — a non-pass verdict fails the gate.

Claim	How it's verified
Documentation surface is docs.wave.online/mcp	resolved by grepping `package.json`
Published npm package name is @wave-av/mcp-server	resolved by grepping `package.json`
wave_control_camera tool defined in src/tools/production.ts	resolved by grepping `src/tools/production.ts`
Exposes 18 MCP tools	resolved by grepping `capabilities.json`
wave_create_clip tool defined in src/tools/production.ts	resolved by grepping `src/tools/production.ts`
wave_create_production tool defined in src/tools/studio.ts	resolved by grepping `src/tools/studio.ts`
wave_create_stream tool defined in src/tools/streams.ts	resolved by grepping `src/tools/streams.ts`
wave_get_viewers tool defined in src/tools/analytics.ts	resolved by grepping `src/tools/analytics.ts`
wave_list_productions tool defined in src/tools/studio.ts	resolved by grepping `src/tools/studio.ts`
wave_list_streams tool defined in src/tools/streams.ts	resolved by grepping `src/tools/streams.ts`
wave_mark_highlight tool defined in src/tools/production.ts	resolved by grepping `src/tools/production.ts`
wave_moderate_chat tool defined in src/tools/production.ts	resolved by grepping `src/tools/production.ts`
wave_show_graphic tool defined in src/tools/production.ts	resolved by grepping `src/tools/production.ts`
wave_start_captions tool defined in src/tools/production.ts	resolved by grepping `src/tools/production.ts`
wave_start_stream tool defined in src/tools/streams.ts	resolved by grepping `src/tools/streams.ts`
wave_stop_stream tool defined in src/tools/streams.ts	resolved by grepping `src/tools/streams.ts`
wave_get_stream_health tool defined in src/tools/streams.ts	resolved by grepping `src/tools/streams.ts`
wave_get_stream_metrics tool defined in src/tools/analytics.ts	resolved by grepping `src/tools/analytics.ts`
wave_get_subscription tool defined in src/tools/billing.ts	resolved by grepping `src/tools/billing.ts`
wave_switch_camera tool defined in src/tools/production.ts	resolved by grepping `src/tools/production.ts`
wave_get_usage tool defined in src/tools/billing.ts	resolved by grepping `src/tools/billing.ts`
Server connects via stdio transport (no network listener)	resolved by grepping `src/server.ts`

Topics

wave · mcp · model-context-protocol · ai · streaming · tools

Built by WAVE Online, LLC · wave.online · Docs · LinkedIn

Install Server

license - permissive license

quality

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

1Releases (12mo)

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Quick start

Setup

1. Get an API key

2. Configure your AI tool

Available tools — Streams

Available tools — Studio

Available tools — Analytics

Available tools — Billing

Resources

Environment variables

In-process (Claude Agent SDK) mode

Setup for other AI tools

Cursor

Windsurf

Troubleshooting

Server not starting

Tools not appearing

Connection errors

Testing the server

Related packages

Development

License

Capabilities

For AI agents

The receipts

Topics

Maintenance

Resources

Looking for Admin?

Tools

Related MCP Servers

Restream MCP Server

ASTRA MCP Server

APIVerve MCP Serverofficial

youtube-live-mcp

Related MCP Connectors

Latest Blog Posts

MCP directory API