How to Use the Watchmode Streaming Availability MCP in Vercel AI SDK
See real-time streaming data using the Watchmode Streaming Availability MCP Server with your AI SDK client.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Watchmode Streaming Availability MCP to Vercel AI SDK
Create your Vinkius account to connect Watchmode Streaming Availability to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Check title availability across 200+ platforms
You can search for any movie or TV show by name. The `search_titles` tool immediately returns matching titles and basic metadata, giving users a quick idea of what's out there. Better yet, use `get_title_sources` to pull every streaming source where that title is available. This MCP Server handles the complexity of tracking availability across Netflix, Disney+, HBO Max, and hundreds more.
Get full details on a title's stream status
Need deep context? Call `get_title_details` to pull comprehensive data points for any title. This goes beyond just listing platforms; it gives you the specific metadata and sources needed for richer UI components. If you only care about where it streams, stick with `get_title_sources`. It’s a clean way to check all streaming locations without getting bogged down in extra data points from this MCP Server.
List and filter titles by region or type
Sometimes you don't know the name, but you know the genre or country. Use `list_genres` to get a list of categories, then combine that with `list_titles` to narrow down your search. It’s great for building a browse catalog. This MCP Server lets you filter titles by streaming source and region, giving your AI client powerful control over what data it pulls into the React frontend.
Set up Watchmode Streaming Availability MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Watchmode Streaming Availability tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent Watchmode Streaming Availability transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Watchmode. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Watchmode Streaming Availability MCP in Vercel AI SDK
Use it with your favorite AI tools
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