IMDb MCP App
An MCP server that answers natural-language movie questions using live TMDb data, with tools for searching, ranking, and retrieving detailed movie information.
README
IMDb MCP App
An MCP server that answers natural-language movie questions ("top 10 popular horror movies", "highest rated movie", "10 movies with Nicolas Cage") using live TMDb data, with React views rendered inline in chat.
Setup
- Get a free TMDb API Read Access Token: https://www.themoviedb.org/settings/api
- Copy
.env.exampleto.envand setTMDB_API_KEYto that token. - (Optional) Get a free OMDb API key at https://www.omdbapi.com/apikey.aspx and set
OMDB_API_KEYin.envto add real IMDb rating and Metacritic score toget-movie-details. Leave it blank to skip. - (Optional) Set
CLERK_DOMAIN,TRAKT_CLIENT_ID,TRAKT_CLIENT_SECRET,UPSTASH_REDIS_REST_URL, andUPSTASH_REDIS_REST_TOKENin.env(see the comments in.env.example) to enable theconnect-trakttool. Leave them all blank to skip — every other tool works with zero sign-in regardless. npm install
Development
npm run dev— starts a local MCP server with hot reload, plus a devtools URL for invoking tools and previewing views.npm run dev:tunnel— same asdev, plus a public tunnel URL ({tunnel-url}/mcp) you can add as a custom connector in Claude or ChatGPT to test before deploying.npm test— runs the unit test suite. It covers pure logic only (query building, mapping, pagination decisions, schemas); code that calls TMDb, OMDb, Rotten Tomatoes, Trakt, or Upstash directly is exercised manually against the live API instead of mocked.
Tools
search-movies— search and rank movies by popularity, rating, genre, person (actor or director), or release year range.genre(optional) — genre name, e.g."horror","comedy".person(optional) — actor or director name, e.g."Nicolas Cage".sort_by—popularity|rating|newest|oldest(defaultpopularity).min_year/max_year(optional) — release-year range.limit— number of movies to return, 1–25 (default 10).
get-movie-details— look up full details (synopsis, cast, director, runtime, rating, IMDb link, Rotten Tomatoes Tomatometer/audience score, plus real IMDb rating/Metacritic score whenOMDB_API_KEYis configured) for one specific movie.title— the movie title to look up.
connect-trakt— link your Trakt.tv account so future features can know what you've already watched. Requires signing in (Clerk) andCLERK_DOMAIN/TRAKT_CLIENT_ID/TRAKT_CLIENT_SECRET/UPSTASH_REDIS_REST_URL/UPSTASH_REDIS_REST_TOKENall configured — every other tool works with zero sign-in regardless.
Deploy
npm run build— builds the production bundle (also whatalpic deployruns from the Dockerfile).npm run deploy— deploys via Alpic. RequiresTMDB_API_KEYto be set as an environment variable/secret in the deploy target;OMDB_API_KEYis optional there too, same as local.env.
Docker
Build and run the server in a container:
docker build -t imdb-mcp-app .
docker run --rm -p 3000:3000 --env-file .env imdb-mcp-app
The server listens on Skybridge's __PORT env var (default 3000) — see the comment in Dockerfile if you're deploying to a platform that injects a different PORT variable.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.