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

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add TMDB (The Movie Database) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this MCP Server for Google ADK

The TMDB (The Movie Database) MCP Server for Google ADK 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

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="tmdb_the_movie_database_agent",
    instruction=(
        "You help users interact with TMDB (The Movie Database) "
        "using 13 available tools."
    ),
    tools=[mcp_tools],
)
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.

Google ADK natively supports TMDB (The Movie Database) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 13 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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 Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 13 tools from TMDB (The Movie Database) via MCP

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

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

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with TMDB (The Movie Database)

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine TMDB (The Movie Database) tools with BigQuery, Vertex AI, and Cloud Functions

TMDB (The Movie Database) + Google ADK Use Cases

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

01

Enterprise data agents: ADK agents query TMDB (The Movie Database) and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine TMDB (The Movie Database) tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query TMDB (The Movie Database) regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including TMDB (The Movie Database)

Example Prompts for TMDB (The Movie Database) in Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

TMDB (The Movie Database) + Google ADK FAQ

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

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

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