MCP server
by terryso
Discover the best ever TV series with our TV Show Recommender. Get personalized picks, trends, and streaming info from T
Connects to The Movie Database (TMDb) API to help you discover TV shows through natural language queries. Get recommendations by genre, find similar shows, check where to watch, and explore actor filmographies.
TV Show Recommender (TMDb) is a community-built MCP server published by terryso that provides AI assistants with tools and capabilities via the Model Context Protocol. Discover the best ever TV series with our TV Show Recommender. Get personalized picks, trends, and streaming info from T It is categorized under other. This server exposes 12 tools that AI clients can invoke during conversations and coding sessions.
You can install TV Show Recommender (TMDb) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
TV Show Recommender (TMDb) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
README content is unavailable from source data for this server.
Open GitHub repository →Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
TV Show Recommender (TMDb) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend TV Show Recommender (TMDb) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, TV Show Recommender (TMDb) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
TV Show Recommender (TMDb) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
TV Show Recommender (TMDb) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
TV Show Recommender (TMDb) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
TV Show Recommender (TMDb) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, TV Show Recommender (TMDb) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired TV Show Recommender (TMDb) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated TV Show Recommender (TMDb) against two servers with overlapping tools; this profile had the clearer scope statement.
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Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
