How to Use the TVMaze MCP in Pydantic AI

Q: How do I find TV shows using fuzzy matching with TVMaze and Pydantic AI?

Use searchshows if you're unsure of how a show is spelled. It returns multiple options, ranked by relevance, which your agent can then select from. This helps avoid ambiguity.

Q: What data does TVMaze provide for a specific person using Pydantic AI?

The getperson tool gives you comprehensive details on an individual: name, birthday, birthplace, gender, photo, bio, and external IDs like IMDb. The output is always validated.

Q: Can I check the full schedule using TVMaze and Pydantic AI?

Yes. getfullschedule provides every known future episode across all shows and networks. Because the data is structured, your agent can process this massive response without corrupting fields.

TVMaze: Validate TV data structure with Pydantic AI for reliable Python SDK integration.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect TVMaze MCP to Pydantic AI

Create your Vinkius account to connect TVMaze 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.

GDPR Free for Subscribers

Setup TVMaze with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Get a show's cast and crew roles.

Need to confirm who worked on the show? `get_show_cast` lists every actor, their character name, and photo link. It’s clean data that validates perfectly against Pydantic models. For production staff, use `get_show_crew`. This provides names and role types for directors or writers. If the API returns unexpected fields, your agent fails loud with a validation error—which is what you want.

Get all episodes for a specific show.

The `get_show_episodes` tool collects season and episode numbers, air dates, summaries, and runtimes. Since the response structure is predictable, your agent can map this data reliably. If you need images associated with the whole series, call `get_show_images`. It returns types, resolutions, and URLs that fit neatly into a structured model.

Find specific episodes using their IDs.

Use `get_episode` to pull all key details for one episode: name, season/number, air date, summary, runtime, and the show link. The output structure is highly reliable. Want a full picture of what's airing soon? Run `get_schedule`. You can set both the country and the specific date (YYYY-MM-DD) to constrain the results precisely.

Setup guide

Set up TVMaze 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 deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with 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 call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "tvmaze-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to TVMaze tools.",
)

result = await agent.run("List recent TVMaze transactions")
print(result.output)

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 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect TVMaze now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about TVMaze MCP in Pydantic AI

Use `search_shows` if you're unsure of how a show is spelled. It returns multiple options, ranked by relevance, which your agent can then select from. This helps avoid ambiguity.

The `get_person` tool gives you comprehensive details on an individual: name, birthday, birthplace, gender, photo, bio, and external IDs like IMDb. The output is always validated.

Yes. `get_full_schedule` provides every known future episode across all shows and networks. Because the data is structured, your agent can process this massive response without corrupting fields.

The server handles show metadata, episode details, person biographies, cast credits, and scheduling information. All responses are validated against clear schema definitions.

The server touches public domain broadcast records: titles, summaries, air dates, genre tags, network names, and cast/crew roles. No private user information is exposed.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript