How do I find my IMDB API Key?

Register for an account at the [**imdbapi.dev portal**](https://imdbapi.dev/), and you will find your API Key in your dashboard after subscription. Copy and paste it below.

Does it support TV series?

Yes. The API provides metadata and ratings for both movies and television series indexed in the IMDB database.

Can the agent show the full cast list?

Yes. Use the `get_imdb_cast_details` tool providing a title ID to retrieve the list of all actors and their roles.

IMDB API (Unofficial) MCP Server for Pydantic AI 4 tools — connect in under 2 minutes

Name: IMDB API (Unofficial)
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 4 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

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 IMDB API (Unofficial) "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in IMDB API (Unofficial)?"
    )
    print(result.data)

asyncio.run(main())

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About IMDB API (Unofficial) MCP Server

Empower your AI agent to orchestrate your entire cinematic research and media auditing workflow with the IMDB API (Unofficial), the comprehensive source for global film and television metadata. By connecting this IMDB intelligence to your agent, you transform complex movie searches into a natural conversation. Your agent can instantly search for titles, audit audience ratings, and retrieve detailed cast metadata without you ever touching a film database. Whether you are conducting industry research or managing local viewing constraints, your agent acts as a real-time cinematic consultant, ensuring your data is always comprehensive and up-to-the-minute.

Pydantic AI validates every IMDB API (Unofficial) tool response against typed schemas, catching data inconsistencies at build time. Connect 4 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

Title Auditing — Search for thousands of movies and TV shows by keyword and retrieve detailed metadata, including years and genres.
Rating Oversight — Audit audience ratings for any title to understand the current industry lead in cinematic reception instantly.
Cast Discovery — Retrieve full cast and crew lists for specific titles to assist in deep-dive filmography classification.
Metadata Intelligence — Retrieve unique IMDB identifiers (ttIDs) and synopsis details to assist in professional media auditing.
Operational Monitoring — Check API status to ensure your cinematic research workflow is always operational.

The IMDB API (Unofficial) MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect IMDB API (Unofficial) to Pydantic AI via MCP

Follow these steps to integrate the IMDB API (Unofficial) MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 4 tools from IMDB API (Unofficial) with type-safe schemas

Why Use Pydantic AI with the IMDB API (Unofficial) MCP Server

Pydantic AI provides unique advantages when paired with IMDB API (Unofficial) through the Model Context Protocol.

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

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your IMDB API (Unofficial) integration code

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

Dependency injection system cleanly separates your IMDB API (Unofficial) connection logic from agent behavior for testable, maintainable code

IMDB API (Unofficial) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the IMDB API (Unofficial) MCP Server delivers measurable value.

Type-safe data pipelines: query IMDB API (Unofficial) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple IMDB API (Unofficial) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query IMDB API (Unofficial) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock IMDB API (Unofficial) responses and write comprehensive agent tests

IMDB API (Unofficial) MCP Tools for Pydantic AI (4)

These 4 tools become available when you connect IMDB API (Unofficial) to Pydantic AI via MCP:

check_api_status

Check if the IMDB service is operational

get_imdb_cast_details

Get the full cast and crew list for a specific IMDB title

get_imdb_movie_details

g., tt1234567). Get full metadata and synopsis for a specific IMDB title by ID

search_imdb_movies

Search for movies and TV shows on IMDB

Example Prompts for IMDB API (Unofficial) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with IMDB API (Unofficial) immediately.

"Search for 'Inception' using IMDB."

"Show the cast for movie with ID 'tt0111161' (The Shawshank Redemption)."

"Search for TV shows about 'space' on IMDB."

Troubleshooting IMDB API (Unofficial) MCP Server with Pydantic AI

Common issues when connecting IMDB API (Unofficial) to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

IMDB API (Unofficial) + Pydantic AI FAQ

Common questions about integrating IMDB API (Unofficial) MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your IMDB API (Unofficial) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.