# tv-recommender-mcp-server

> Use this tool when you need to generate personalized TV show recommendations based on user preferences and viewing history. It solves the problem of content discovery for users overwhelmed by numerous TV show options, providing a tailored list of suggested shows. The tool takes user data as input and outputs a curated list of recommended TV shows, ideal for use in streaming services or entertainment platforms.

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

## Description

tv-recommender-mcp-server

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eed7pwh69r)
- **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-mcp-server"
    }
  }
}
```

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

---
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