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

Name: TMDB (The Movie Database)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TMDB (The Movie Database) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to TMDB (The Movie Database). "
            "You have 13 tools available."
        ),
    )

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

asyncio.run(main())

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* 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.

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.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 movies on TMDB (The Movie Database)

Search for movies by text

Connect TMDB (The Movie Database) to LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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 13 tools from TMDB (The Movie Database)

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

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

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

Multi-source reasoning: agents can query TMDB (The Movie Database), a vector store, and a SQL database in a single turn and synthesize results

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) + LlamaIndex Use Cases

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

Hybrid search: combine TMDB (The Movie Database) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query TMDB (The Movie Database) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying TMDB (The Movie Database) for fresh data

Analytical workflows: chain TMDB (The Movie Database) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for TMDB (The Movie Database) in LlamaIndex

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

"Search for the movie 'Inception'."

"Discover top-rated horror movies from 2023."

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

Troubleshooting TMDB (The Movie Database) MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

TMDB (The Movie Database) + LlamaIndex FAQ

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

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.