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TMDB (The Movie Database) MCP Server for Pydantic AIGive Pydantic AI instant access to 13 tools to Create Guest Session, Create Request Token, Discover Movies, and more

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect TMDB (The Movie Database) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

The TMDB (The Movie Database) MCP Server for Pydantic AI is a standout in the Knowledge Management category — giving your AI agent 13 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to TMDB (The Movie Database) "
            "(13 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in TMDB (The Movie Database)?"
    )
    print(result.data)

asyncio.run(main())
TMDB (The Movie Database)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 TMDB (The Movie Database) MCP Server

Connect your AI agent to The Movie Database (TMDB) to access a world of cinematic information through natural conversation.

Pydantic AI validates every TMDB (The Movie Database) tool response against typed schemas, catching data inconsistencies at build time. Connect 13 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Search & Discover — Find movies and TV shows using text search or advanced filters like genres, ratings, and release dates via search_movies and discover_movies.
  • Deep Metadata — Fetch comprehensive details for movies, TV series, specific seasons, and individual episodes using get_movie_details, get_tv_details, and get_tv_episode_details.
  • Cast & Crew — Retrieve detailed biographies and filmographies for actors and production members with get_person_details.
  • Certifications & Config — Access official movie/TV certifications and system configurations to understand regional content ratings.
  • Account Management — Manage guest sessions and retrieve account-specific details for personalized interactions.

The TMDB (The Movie Database) MCP Server exposes 13 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 13 TMDB (The Movie Database) tools available for Pydantic AI

When Pydantic AI connects to TMDB (The Movie Database) through Vinkius, your AI agent gets direct access to every tool listed below — spanning movies, tv-shows, entertainment, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create guest session on TMDB (The Movie Database)

Create a new guest session

create

Create request token on TMDB (The Movie Database)

Create a new request token

discover

Discover movies on TMDB (The Movie Database)

Discover movies by filters

get

Get account details on TMDB (The Movie Database)

Get TMDB account details

get

Get configuration on TMDB (The Movie Database)

Get TMDB API configuration

get

Get movie certifications on TMDB (The Movie Database)

Get movie certifications

get

Get movie details on TMDB (The Movie Database)

Get details for a specific movie

get

Get person details on TMDB (The Movie Database)

Get details for a specific person

get

Get tv certifications on TMDB (The Movie Database)

Get TV certifications

get

Get tv details on TMDB (The Movie Database)

Get details for a specific TV series

get

Get tv episode details on TMDB (The Movie Database)

Get details for a specific TV episode

get

Get tv season details on TMDB (The Movie Database)

Get details for a specific TV season

search

Search movies on TMDB (The Movie Database)

Search for movies by text

Connect TMDB (The Movie Database) to Pydantic AI via MCP

Follow these steps to wire TMDB (The Movie Database) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 13 tools from TMDB (The Movie Database) with type-safe schemas

Why Use Pydantic AI with the TMDB (The Movie Database) MCP Server

Pydantic AI provides unique advantages when paired with TMDB (The Movie Database) through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your TMDB (The Movie Database) integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your TMDB (The Movie Database) connection logic from agent behavior for testable, maintainable code

TMDB (The Movie Database) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the TMDB (The Movie Database) MCP Server delivers measurable value.

01

Type-safe data pipelines: query TMDB (The Movie Database) with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple TMDB (The Movie Database) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query TMDB (The Movie Database) and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock TMDB (The Movie Database) responses and write comprehensive agent tests

Example Prompts for TMDB (The Movie Database) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with TMDB (The Movie Database) immediately.

01

"Search for the movie 'Inception'."

02

"Discover top-rated horror movies from 2023."

03

"Get the details for season 1 of the TV show with ID 1399."

Troubleshooting TMDB (The Movie Database) MCP Server with Pydantic AI

Common issues when connecting TMDB (The Movie Database) to Pydantic AI through Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

TMDB (The Movie Database) + Pydantic AI FAQ

Common questions about integrating TMDB (The Movie Database) MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your TMDB (The Movie Database) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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