imdb-mcp-server

Instructions

Input Schema

Input Schema (JSON Schema)

Implementation Reference

• src/imdb_mcp_server/tools.py:231-243 (handler)

  The handler function for the 'get_most_popular_movies' tool. It makes an API request to IMDb's most-popular-movies endpoint, handles empty responses, applies pagination using the paginated_response helper, and returns formatted JSON.
  @mcp.tool() async def get_most_popular_movies(start: int, ctx: Context) -> str: """Get the most popular movies from IMDb with pagination. Args: start: The starting index (0-based) to retrieve movies from. Returns: JSON object containing 5 most popular movies starting from the specified index. """ most_popular_movies_url = f"{BASE_URL}/most-popular-movies" most_popular_movies_data = await make_imdb_request(most_popular_movies_url, {}, ctx) if not most_popular_movies_data: return "Unable to fetch most popular movies data." return json.dumps(paginated_response(most_popular_movies_data, start, len(most_popular_movies_data)), indent=4)
• src/imdb_mcp_server/main.py:22-23 (registration)

  Registration of all tools, including 'get_most_popular_movies', by calling register_tools on the MCP server instance in HTTP mode.
  # Register all tools with the server register_tools(server)
• src/imdb_mcp_server/main.py:60-61 (registration)

  Registration of all tools, including 'get_most_popular_movies', by calling register_tools on the MCP server instance in stdio mode.
  server = FastMCP("IMDb MCP Server") register_tools(server)
• src/imdb_mcp_server/api.py:14-55 (helper)

  Core helper function used by the tool to make HTTP requests to the IMDb API, including caching, API key handling from context or env, and error management.
  async def make_imdb_request(url: str, querystring: dict[str, Any], ctx: Optional[Context] = None) -> Optional[Dict[str, Any]]: """Make a request to the IMDb API with proper error handling and caching.""" # Check if it's time to clean the cache cache_manager.cleanup_if_needed() # Create a cache key from the URL and querystring cache_key = f"{url}_{str(querystring)}" # Try to get from cache first cached_data = cache_manager.cache.get(cache_key) if cached_data: return cached_data # Get API key from session config or fallback to environment variable api_key = None if ctx and hasattr(ctx, 'session_config') and ctx.session_config: api_key = ctx.session_config.rapidApiKeyImdb if not api_key: api_key = os.getenv("RAPID_API_KEY_IMDB") # Not in cache, make the request headers = { "x-rapidapi-key": api_key, "x-rapidapi-host": "imdb236.p.rapidapi.com", } if not api_key: raise ValueError("API key not found. Please set the RAPID_API_KEY_IMDB environment variable or provide rapidApiKeyImdb in the request.") try: response = requests.get(url, headers=headers, params=querystring, timeout=30.0) response.raise_for_status() data = response.json() # Cache the response cache_manager.cache.set(cache_key, data) return data except Exception as e: raise ValueError(f"Unable to fetch data from IMDb. Please try again later. Error: {e}")
• src/imdb_mcp_server/api.py:58-77 (helper)

  Helper function used by the tool to create a standardized paginated JSON response structure with a fixed page size of 5.
  def paginated_response(items, start, total_count=None): """Format a paginated response with a fixed page size of 5.""" if total_count is None: total_count = len(items) # Validate starting index start = max(0, min(total_count - 1 if total_count > 0 else 0, start)) # Fixed page size of 5 page_size = 5 end = min(start + page_size, total_count) return { "items": items[start:end], "start": start, "count": end - start, "totalCount": total_count, "hasMore": end < total_count, "nextStart": end if end < total_count else None }