How to Use the Fanart.tv MCP in Mastra AI

Automate your media library organization with the Fanart.tv MCP server and Mastra AI workflows.

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Connect Fanart.tv MCP to Mastra AI

Create your Vinkius account to connect Fanart.tv to Mastra AI 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 Fanart.tv with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automated artwork discovery in Mastra AI

Run background jobs that monitor new releases. Use `get_latest_movies` or `get_latest_tv` to trigger your workflow whenever fresh metadata appears on the platform. The system automatically pipes these results into your database updates. It removes the need for manual checks by keeping your local library current with the latest additions.

Conditional media processing with workflow tools

Chain your asset collection steps using custom logic. If `get_movie_art` returns a high-resolution logo, trigger a secondary step to update your media server index. Mastra AI handles the retries if the network blips. You define the flow and the MCP server provides the data points for every branch.

Artist and album art synchronization

Keep your music collection organized. Use `get_latest_music` to identify new artist entries and sync their details using `get_music_artist_art`. The workflow engine manages the sequential calls. You get a fully populated library without touching a single file manually.

Setup guide

Set up Fanart.tv MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Fanart.tv tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "fanarttv-mcp-client",
  servers: {
    "fanarttv-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Fanart.tv Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Fanart.tv tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Fanart.tv transactions"
);
console.log(result.text);

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

Add the MCP server to your agent definition in your Mastra project. You can then call tools like get_tv_art directly from your agent's task blocks.

Yes, the workflow engine supports automatic retries with exponential backoff. Configure the retry policy in your agent's tool execution settings.

Pass the required MusicBrainz or TMDb IDs into the tool arguments. Your workflow should verify these IDs exist before triggering the art retrieval.

You can enable tool approval within your Mastra workflow configuration. This forces the agent to ask for permission before executing any asset modification.

The server accesses artwork URLs and metadata associated with your media IDs. It only reads these values to provide your workflow with the links it needs to update your local files.

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