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Improvado's MCP server connects The Movie Database to your AI agent. Query film metadata, ratings, cast data, genres, trending titles, and release schedules in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.
Ask your AI agent about genre trends, top-rated titles, cast connections, or upcoming releases — without writing API calls or browsing the TMDB interface. The MCP server handles all data retrieval.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Create curated lists, add titles, update metadata tags, and manage watchlists programmatically through your AI agent. The MCP server translates natural language into TMDB API write operations.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up your AI agent to watch TMDB data continuously. Get alerts when titles in your catalog enter trending lists, when ratings shift significantly, or when new releases match your content criteria.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Create curated lists, add titles, update metadata tags, and manage watchlists programmatically through your AI agent. The MCP server translates natural language into TMDB API write operations.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Teams building content platforms or recommendation engines need rich metadata — genres, ratings, cast, keywords, similar titles — for every item in their catalog. Fetching this from TMDB, formatting it consistently, and loading it into the catalog is a multi-step manual pipeline that breaks whenever the catalog grows.
Ask the MCP server to enrich catalog entries on demand. The AI agent pulls metadata for any title or batch of titles, formats it consistently, and returns structured data ready for ingestion — without custom API scripts or manual enrichment steps.
Understanding what content is trending, which genres are growing in ratings, or which directors are gaining popularity requires querying TMDB's API with custom code, transforming the results, and building visualizations. Most teams don't have bandwidth for this, so strategic content decisions are made without data.
Ask the MCP server analytical questions directly. The AI agent queries TMDB data, aggregates across date ranges and categories, and returns trend analysis in seconds — no code, no data pipelines, no waiting.
Content recommendation systems rely on up-to-date metadata — new ratings, new releases, updated cast data. Keeping a local metadata store synchronized with TMDB requires a scheduled pipeline that someone has to maintain. When it breaks, recommendations degrade silently.
The MCP server gives the AI agent direct access to live TMDB data. Set up monitoring queries to detect new high-rated releases or significant metadata changes, and refresh catalog entries automatically when conditions are met.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
TMDB does not publish an official MCP server. Improvado provides a hosted MCP server that connects TMDB to Claude, ChatGPT, Cursor, and other MCP-compatible AI tools — with pre-authenticated access, normalized metadata, and no local setup required.
Movie and TV show metadata, ratings, vote counts, genres, cast and crew, keywords, release dates, trending lists, similar titles, collections, and production company data. Improvado normalizes the full TMDB API v3 and v4 surface.
Any tool supporting the Model Context Protocol: Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using the MCP HTTP transport. Claude is the most widely used due to its native MCP support.
Yes. Improvado connects data from multiple sources in one normalized model. Teams can combine TMDB metadata with streaming analytics, viewership data, or content platform metrics — queryable through the same MCP connection.
Yes. TMDB API keys are stored in Improvado's encrypted vault (SOC 2 Type II certified). All queries run through Improvado's secure proxy — your API credentials are never passed to the AI tool.
TMDB integration in Improvado typically completes in minutes. For Claude Desktop or Cursor, add one configuration line. Once connected, the AI agent can start answering questions about movie and TV data immediately.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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