How to Use the Kitsu MCP in Vercel AI SDK

Q: How do I set up the Kitsu MCP server with Vercel AI SDK?

Run npm install ai @ai-sdk/mcp in your project folder. Initialize the connection using createMCPClient and pass the returned tools to your streamText function.

Q: Can Vercel AI SDK search for specific manga on Kitsu?

Yes. Your agent will call listmanga to query titles by text, category, or year. It can then fetch specific volumes using getmanga.

Connect Kitsu to Vercel AI SDK and stream anime and manga data directly into your React or Next.js frontend.

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Connect Kitsu MCP to Vercel AI SDK

Create your Vinkius account to connect Kitsu 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.

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Setup Kitsu with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live Anime Search in Your UI

Vercel AI SDK streams the output of `list_anime` straight to your users. You avoid building custom loading states or complex async logic. The agent fetches the data and paints it on the screen instantly. Pulling deep details works exactly the same way. When a user clicks a title, your agent calls `get_anime` to grab character lists, episode counts, and ratings. The interface updates in real-time.

Update Kitsu Libraries from Vercel AI SDK

Building a custom watchlist interface usually requires mapping out full CRUD endpoints. This MCP Server handles the entire backend side of that equation. Your client simply passes user prompts to `create_library_entry` or `update_library_entry`. Watch statuses change without writing boilerplate API wrappers. A user types "Mark Attack on Titan as watched," and the agent executes the mutation. The frontend reflects the change immediately.

Fetch Real-Time User Profiles

Grabbing current user stats requires calling `get_current_user` through the active session. This gives your agent immediate context about who is making the request. It knows their preferences before they even ask. You can then map their entire watch history using `list_library_entries`. The agent compares their existing catalog against new seasonal drops to recommend shows they actually care about.

Setup guide

Set up Kitsu MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with 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 Kitsu tools. Pass them directly to generateText() or streamText() — 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.

index.ts

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 Kitsu transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kitsu. 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 Kitsu MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp` in your project folder. Initialize the connection using `createMCPClient` and pass the returned tools to your `streamText` function.

Yes. Your agent will call `list_manga` to query titles by text, category, or year. It can then fetch specific volumes using `get_manga`.

You pass OAuth tokens directly through the MCP client configuration. The server uses these credentials to authorize write actions.

Text streams to the frontend while the MCP server executes the backend fetch. Users read the AI's response while the payload resolves.

It accesses personal anime watch histories, manga reading lists, and user profile IDs. Vinkius isolates this data using a V8 Sandbox environment, wiping memory clean the exact millisecond the request resolves.

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