# IMDB MCP

> Use this tool when you need to perform complex searches across large movie datasets, such as finding similar movies or retrieving specific film information. It solves problems like inefficient data retrieval and limited search functionality by utilizing vector embeddings and PostgreSQL with pgvector. The tool accepts traditional filters and hybrid search inputs, producing relevant movie data outputs.

Canonical page: https://skillsregistry.net/skills/alexobarnes-imdb-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alexobarnes-imdb-mcp

## Description

Enables semantic and similarity search across IMDB movie data using vector embeddings and PostgreSQL with pgvector, supporting traditional filters and hybrid search.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v0l7d8ptg8)
- **Repository:** <https://github.com/AlexOBarnes/IMDB-MCP>

## 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": "alexobarnes-imdb-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexobarnes-imdb-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexobarnes-imdb-mcp/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