"The Movie Database" matching MCP servers:

Enables querying and analyzing the MongoDB sample_mflix movie dataset through natural language, supporting searches by title, genre, actors, directors, ratings, and providing aggregate statistics like counts and averages.

Enables natural language queries against a MongoDB movie database to search films by title, genre, actor, year, or rating, and retrieve detailed movie information from the sample_mflix collection.

MCP server that wraps the movie reservation GraphQL API, providing tools to get catalog, request seats, and check reservation status.

FastMCP wrapper around a Rust movie recommendation API, providing tools to fetch movie recommendations and check service health.

A Model Context Protocol server that enables searching and retrieving detailed information about movies and TV shows using The Movie Database (TMDB) API.

Enables AI models to access an in-memory movie database, read and edit synopses, retrieve movie resources, and use film analysis prompts.

MCP server for controlling satellite ground station operations in the Trench simulation, including pass management, downlink control, and antenna pointing.

Enables querying the Health Canada Drug Product Database for information on approximately 47,000 approved drugs, including human pharmaceuticals, biologics, veterinary drugs, radiopharmaceuticals, and disinfectants.

Enables SQL database interaction with true server-side result paging, runtime-managed connection profiles, and SSH-bridged access for PostgreSQL.

Provides Claude AI with direct access to The Movie Database (TMDB) for searching movies, trending content, and reviews through natural language.

Provides SQLite database analytics operations through MCP, enabling AI assistants to connect, query, explore schema, and export data from SQLite databases.

A server that provides access to Baidu Cloud Vector Database functionality through the Model Context Protocol, enabling LLM applications to perform vector searches and database operations via natural language.

A Model Context Protocol server that provides real-time database schema information to AI assistants, supporting both low-code system schema queries and traditional database metadata queries.

Loads CSV files into a temporary SQLite database and provides comprehensive data analysis tools via MCP, enabling AI assistants to query, analyze, and export data using natural language.

Enables movie and TV recommendation workflows, including title resolution, evidence tracking, candidate retrieval from MovieLens and TMDB, and recording of recommendation runs and reactions.

Enables natural language interaction with MySQL Sakila database through intent-based tools for movie search, customer management, rental operations, and business analytics without exposing database schema.

A local stdio MCP server that enables researchers to practice explaining their work outside a conference setting through a guided, one-question-at-a-time interview about their research, its audience, its consequences, and a concrete next step. It stores the saved answers in a local SQLite draft and returns an approximate rubric-based grade, without calling any model or requiring an API key.

Enables LLM clients to safely inspect database schemas and run only approved read-only queries and stored procedures, with auditing.

Enables semantic code search across multi-language codebases using natural language queries, integrated with Qdrant vector database for fast, cached retrieval.

Enables simultaneous querying and schema exploration across multiple database types, including PostgreSQL, MySQL, SQL Server, and SQLite. It supports parallel query execution and detailed inspection of tables and schemas across different database instances.