Compatible with every major AI agent and IDE
What is the 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.
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_moviesanddiscover_movies. - Deep Metadata — Fetch comprehensive details for movies, TV series, specific seasons, and individual episodes using
get_movie_details,get_tv_details, andget_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.
How it works
- Subscribe to this server
- Enter your TMDB API Read Access Token (v4)
- Start exploring the world of cinema from Claude, Cursor, or any MCP-compatible client
No more manual searching through browser tabs to find release dates or cast lists. Your AI acts as a dedicated film buff and database researcher.
Built-in capabilities (13)
Create a new guest session
Create a new request token
Discover movies by filters
Get TMDB account details
Get TMDB API configuration
Get movie certifications
Get details for a specific movie
Get details for a specific person
Get TV certifications
Get details for a specific TV series
Get details for a specific TV episode
Get details for a specific TV season
Search for movies by text
Why Pydantic AI?
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.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your TMDB (The Movie Database) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your TMDB (The Movie Database) connection logic from agent behavior for testable, maintainable code
TMDB (The Movie Database) in Pydantic AI
TMDB (The Movie Database) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect TMDB (The Movie Database) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for TMDB (The Movie Database) in Pydantic AI
The TMDB (The Movie Database) 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. All 13 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
TMDB (The Movie Database) for Pydantic AI
Every tool call from Pydantic AI to the TMDB (The Movie Database) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I filter movies by specific genres and ratings?
Yes! Use the discover_movies tool. You can provide genre IDs in with_genres and use other filters like sort_by to find highly-rated content.
How do I get information about a specific actor?
Use the get_person_details tool with the person's unique ID. It will return their biography, place of birth, and other metadata.
Can I see the episodes of a specific TV season?
Absolutely. Use get_tv_season_details by providing the series_id and the season_number. It will list all episodes in that season.
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 TMDB (The Movie Database) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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