How to Use the Fanart.tv MCP in Pydantic AI
Validate Fanart.tv movie, TV, and music assets at runtime using Pydantic AI type-safe agent toolsets.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Fanart.tv MCP to Pydantic AI
Create your Vinkius account to connect Fanart.tv to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Enforce type safety on Fanart.tv movie artwork
The `get_movie_art` tool retrieves movie posters, clear logos, and background fanart based on TMDb IDs. Pydantic AI validates the returned image URLs, dimensions, and like counts against strict Python types before your code runs. This runtime check ensures that your agent never passes malformed image objects to your frontend. If the API payload structure changes, the toolset raises an immediate validation error instead of failing silently.
Track TV show assets using an MCP Server
This Fanart.tv MCP Server provides `get_tv_art` and `get_tv_art_hd` to fetch high-definition banners and season posters. Your Pydantic AI agent processes these assets using either Streamable HTTP or SSE transports. You initialize the connection using the unified MCPToolset constructor. Passing this toolset to your agent lets it safely fetch television graphics without you writing manual JSON parser logic.
Fetch verified music graphics with MusicBrainz IDs
Music library managers can use `get_album_art` and `get_music_artist_art` to fetch verified CD art, spine graphics, and artist thumbnails. The agent maps these fields directly to your custom Pydantic models. Because this framework is model-agnostic, you can run these verified lookups using local models or commercial APIs. Your validation schemas remain identical regardless of which LLM decides to fetch the artwork.
Set up Fanart.tv MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"fanarttv-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Fanart.tv tools.",
)
result = await agent.run("List recent Fanart.tv transactions")
print(result.output) 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 Pydantic AI
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