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Trakt MCP Server for Vercel AI SDK 18 tools — connect in under 2 minutes

Built by Vinkius GDPR 18 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Trakt through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Trakt, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Trakt MCP Server

Connect to Trakt and explore the world's most popular TV and movie tracking platform through natural conversation.

The Vercel AI SDK gives every Trakt tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 18 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Search — Find movies, TV shows, episodes and people by title or name
  • Movie Details — Get ratings, cast, crew, genres and related movies
  • Show Details — Get seasons, episodes, cast, ratings and related shows
  • Trending — See what's currently trending on Trakt in real-time
  • Popular — Discover the most popular movies and shows
  • Calendar — Get upcoming episode premieres and air dates

The Trakt MCP Server exposes 18 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Trakt to Vercel AI SDK via MCP

Follow these steps to integrate the Trakt MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 18 tools from Trakt and passes them to the LLM

Why Use Vercel AI SDK with the Trakt MCP Server

Vercel AI SDK provides unique advantages when paired with Trakt through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Trakt integration everywhere

03

Built-in streaming UI primitives let you display Trakt tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Trakt + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Trakt MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Trakt in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Trakt tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Trakt capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Trakt through natural language queries

Trakt MCP Tools for Vercel AI SDK (18)

These 18 tools become available when you connect Trakt to Vercel AI SDK via MCP:

01

get_calendar

Scope can be "my" (user's watched shows) or "all" (all shows). Returns episodes with air dates, times and show info. Get upcoming episode calendar

02

get_collection

Requires OAuth access token. Returns collected items with metadata and media info. Get the authenticated user's collection

03

get_history

Requires OAuth access token. Optionally filter by type and ID. Get the authenticated user's watch history

04

get_movie

Returns title, year, overview, runtime, rating, genres, languages, certification, trailer and poster URLs. Get detailed info for a specific movie

05

get_movie_people

Each person includes their name, Trakt ID, character name (for cast) and job title (for crew). Get cast and crew for a specific movie

06

get_movie_ratings

Returns total ratings, average score and the count of votes for each rating level. Get ratings distribution for a specific movie

07

get_popular

Popularity is based on overall engagement and activity. Returns paginated results. Get the most popular movies or shows

08

get_related_movies

Each related movie includes title, year, overview, rating and poster URL. Get movies related to a specific movie

09

get_related_shows

Each related show includes title, year, overview, rating and poster URL. Get shows related to a specific TV show

10

get_show

Returns title, year, overview, status, runtime, rating, genres, network, certification, trailer and poster URLs. Get detailed info for a specific TV show

11

get_show_episodes

Each episode includes episode number, title, overview, runtime, ratings and first aired date. Get all episodes for a specific season of a TV show

12

get_show_people

Get cast and crew for a TV show

13

get_show_ratings

Returns total ratings, average score and vote counts per rating level. Get ratings distribution for a TV show

14

get_show_seasons

Each season includes season number, episode count, air date, rating and overview. Get all seasons for a TV show

15

get_trending

Trending is based on what users are actively watching and checking in. Returns items with viewer counts. Get currently trending movies or shows

16

get_watched

Requires OAuth access token. Returns items with play counts and last watched timestamps. Get the authenticated user's watched history

17

get_watchlist

Requires an OAuth access token. Returns movies and/or shows the user has added to their watchlist. Get the authenticated user's watchlist

18

search

Returns results with titles, years, ratings, genres, IDs and synopsis. Use type parameter to narrow results: "movie", "show", "episode", "person" or "list". Search for movies, shows, episodes, people or lists on Trakt

Example Prompts for Trakt in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Trakt immediately.

01

"What movies are trending right now?"

02

"Show me info about Breaking Bad."

03

"Who directed The Matrix and who starred in it?"

Troubleshooting Trakt MCP Server with Vercel AI SDK

Common issues when connecting Trakt to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Trakt + Vercel AI SDK FAQ

Common questions about integrating Trakt MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Trakt to Vercel AI SDK

Get your token, paste the configuration, and start using 18 tools in under 2 minutes. No API key management needed.