# Stockfilm

> Use this tool when you need to add authentic vintage footage to your projects, such as documentaries, films, or advertisements, and require a vast library of curated and restored home-movie clips from the 1930s to 1980s. Stockfilm solves the problem of finding genuine and high-quality archival footage, providing access to over 217,000 clips with detailed metadata for easy searching. With inputs including search parameters and outputs of restored 8mm and Super 8 film clips, use Stockfilm to enhance your storytelling with authentic retro visuals.

Canonical page: https://skillsregistry.net/skills/stockfilm  
JSON: https://api.skillsregistry.net/v1/skills/stockfilm

## Description

Stockfilm provides access to the largest curated archive of restored vintage home-movie footage. The catalog contains 217,000+ clips of authentic 8mm and Super 8 film shot by ordinary families across the United States and worldwide from the 1930s through the 1980s. Every reel has been professionally scanned, digitally restored, and cataloged with metadata including year, location, and descriptive tags. The footage preserves the authentic look of the era with real film grain, period color, and original aspect ratios.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/stockfilm)

## 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": "stockfilm"
    }
  }
}
```

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