How to Use the TVMaze MCP in Vercel AI SDK
Show your users TV data live with Vercel AI SDK streaming.
Works with every AI agent you already use
…and any MCP-compatible client
Connect TVMaze MCP to Vercel AI SDK
Create your Vinkius account to connect TVMaze to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Stream Show Details to Your Frontend
Need a show's summary, runtime, or genres? Use `get_show` to grab all the core info. When your agent calls this tool, the data streams directly into your React component, so users see the results appearing live, not after a loading spinner. This makes building interactive UIs simple. You get the show's name, its premiere date, and even its external IDs (like IMDb and TheTVDB) all in one go.
Discover Cast Members with Vercel AI SDK
Want to know who played what? Call `get_show_cast` for a show's cast list. Each result gives the person’s name, their character role, and a photo link. Because this data streams via the MCP Server, your agent can build out an interactive 'starring in' panel piece by piece. It also helps you track crew members using `get_show_crew`. You can see who directed or wrote the show, along with their specific role type.
Get Full Schedules via MCP Server
Building a massive calendar view? The `get_full_schedule` tool returns every known future episode across all networks. Because this is such a large response (multiple MB), streaming it with the Vercel AI SDK prevents timeouts and makes the data feel immediate to the end user. Plus, you can filter this huge dataset by country code if you only care about schedules in, say, 'US' or 'GB'.
Set up TVMaze 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 TVMaze 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 TVMaze 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 TVMaze. 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 TVMaze MCP in Vercel AI SDK
Use it with your favorite AI tools
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