# TMDB

> Use this tool when you need to access comprehensive film and television data, explore entertainment content through natural language queries, or analyze connections within the movie industry ecosystem. It solves problems related to entertainment research, film analysis, and discovering collaborations between actors or crew members. The tool takes in queries and parameters, such as genre, job role, or person names, and outputs detailed information on movies, actors, and crew members, making it ideal for use cases like finding filmographies, shared cast/crew, or genre-specific projects.

Canonical page: https://skillsregistry.net/skills/leonardogilrodriguez-tmdb  
JSON: https://api.skillsregistry.net/v1/skills/leonardogilrodriguez-tmdb

## Description

This TMDB MCP server provides AI assistants with access to The Movie Database API for comprehensive film and television data queries, enabling natural language exploration of entertainment content through six specialized tools. The implementation supports finding collaborations between actors or crew members across projects, retrieving filtered filmographies by genre and job role, and discovering shared cast/crew between different movies, with built-in genre translation and intelligent person search that prioritizes actors when searching cast roles. Built with TypeScript and featuring robust error handling, caching of genre data, and support for multiple languages, it's particularly valuable for entertainment research, film analysis, and discovering connections within the movie industry ecosystem.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/leonardogilrodriguez-tmdb)
- **Repository:** <https://github.com/leonardogilrodriguez/mcp-tmdb>

## 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": "leonardogilrodriguez-tmdb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leonardogilrodriguez-tmdb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leonardogilrodriguez-tmdb/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