TMDB (The Movie Database) MCP Server for LangChainGive LangChain 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

LangChain is the leading Python framework for composable LLM applications. Connect TMDB (The Movie Database) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The TMDB (The Movie Database) MCP Server for LangChain 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "tmdb-the-movie-database": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using TMDB (The Movie Database), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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.

LangChain's ecosystem of 500+ components combines seamlessly with TMDB (The Movie Database) through native MCP adapters. Connect 13 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

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

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

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

The largest ecosystem of integrations, chains, and agents. combine TMDB (The Movie Database) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across TMDB (The Movie Database) queries for multi-turn workflows

TMDB (The Movie Database) + LangChain Use Cases

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

RAG with live data: combine TMDB (The Movie Database) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query TMDB (The Movie Database), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain TMDB (The Movie Database) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every TMDB (The Movie Database) tool call, measure latency, and optimize your agent's performance

Example Prompts for TMDB (The Movie Database) in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

TMDB (The Movie Database) + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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