# TV Show Recommender (TMDb)

> Use this tool when you need to discover and explore TV shows, or recommend content based on genre, similar shows, or trending popularity. It solves problems of content discovery and personalized recommendations, providing detailed show information, actor data, and watch provider details as output. Ideal for applications that help users navigate streaming content, it accepts inputs such as genre preferences and show titles, and returns relevant TV show recommendations and metadata.

Canonical page: https://skillsregistry.net/skills/terryso-tv-recommender  
JSON: https://api.skillsregistry.net/v1/skills/terryso-tv-recommender

## Description

TV Recommender MCP Server provides tools for discovering and exploring TV shows through The Movie Database (TMDb) API. Built with TypeScript and Node.js, it offers capabilities for recommending shows by genre, finding similar content, retrieving detailed show information, accessing actor data, discovering trending content, and aggregating watch provider information. The implementation includes robust error handling, comprehensive testing, and a modular architecture that separates API client services from specific tool implementations, making it ideal for applications that need to help users navigate the vast landscape of streaming content.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/terryso-tv-recommender)
- **Repository:** <https://github.com/terryso/tv-recommender-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "terryso-tv-recommender"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/terryso-tv-recommender` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/terryso-tv-recommender/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt