OTT Helper MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_recommendations_by_platform_and_ratingC | Get OTT recommendations filtered by platform and minimum IMDB rating |
| get_recommendations_by_genre_and_ratingB | Get OTT recommendations filtered by genre and minimum IMDB rating |
| get_recommendations_by_criteriaB | Get OTT recommendations filtered by platform, genre, and minimum IMDB rating |
| get_all_content_on_platformA | Get all available content on a specific platform |
| get_top_rated_contentB | Get the highest-rated OTT content |
| search_content_by_titleB | Search for OTT content by title |
| get_available_filtersA | Get all available platforms and genres for filtering |
| get_content_detailsC | Get detailed information about a specific content |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 8 tools
Several tools overlap in functionality: get_recommendations_by_platform_and_rating and get_recommendations_by_genre_and_rating are subsets of get_recommendations_by_criteria, and get_top_rated_content may duplicate recommendation results. This could confuse an agent when choosing the appropriate tool.
Most tools follow a 'get_' prefix pattern, but 'search_content_by_title' uses 'search_' instead. The filter-based names are clear and consistent, with only minor deviations from the dominant convention.
Eight tools provide a focused yet comprehensive set for an OTT helper, avoiding both excessive granularity and insufficient coverage. The number is well balanced for the domain.
The toolset covers search, recommendations, filtering, content details, top-rated items, and available filters. Missing features like user watchlists or reviews are not essential for the stated purpose, so the surface is reasonably complete.