# media-mcp

> media-mcp — emedinamaza-media-mcp-app. Use this tool when you need to discover new movies or series and manage your personal watch history. It solves the problem of finding relevant media content and keeping track of your viewing progress by leveraging the TMDB API and storing data in a local SQLite database. The tool takes user input and API data as inputs and outputs personalized recommendations and updated watchlist/watched history.

Canonical page: https://skillsregistry.net/skills/emedinamaza-media-mcp-app  
JSON: https://api.skillsregistry.net/v1/skills/emedinamaza-media-mcp-app

## Description

Enables movie/series recommendations via TMDB API and personal tracking of watchlist, watched history, and episodes in local SQLite.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k016vau371)
- **Repository:** <https://github.com/emedinamaza/media-mcp-app>

## 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": "emedinamaza-media-mcp-app"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/emedinamaza-media-mcp-app` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/emedinamaza-media-mcp-app/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