Bring Movies
to LlamaIndex
Learn how to connect TMDB (The Movie Database) to LlamaIndex and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
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 LlamaIndex?
LlamaIndex agents combine TMDB (The Movie Database) tool responses with indexed documents for comprehensive, grounded answers. Connect 13 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
- —
Data-first architecture: LlamaIndex agents combine TMDB (The Movie Database) tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain TMDB (The Movie Database) tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query TMDB (The Movie Database), a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what TMDB (The Movie Database) tools were called, what data was returned, and how it influenced the final answer
TMDB (The Movie Database) in LlamaIndex
TMDB (The Movie Database) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect TMDB (The Movie Database) to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query TMDB (The Movie Database) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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