# FrameThrower

> FrameThrower — ai-framethrower-framethrower. Use this tool when you need to find film stills that match specific visual criteria, such as lighting, lens character, or mood, to inspire or reference cinematographic styles. FrameThrower solves problems of visual research and reference for filmmakers, photographers, and artists by providing a searchable database of 5,489 film stills. It takes in search queries with various parameters and outputs relevant film stills, making it ideal for pre-production, storyboard development, or aesthetic research.

Canonical page: https://skillsregistry.net/skills/ai-framethrower-framethrower  
JSON: https://api.skillsregistry.net/v1/skills/ai-framethrower-framethrower

## Description

Film stills from 5,489 films, searchable by lighting, lens character, shot size, colour and mood.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.framethrower%2Fframethrower)
- **Repository:** <https://github.com/framethrower-ai/framethrower-mcp>

## Use it

MCP endpoint published by the skill: `https://framethrower.ai/api/mcp`

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": "ai-framethrower-framethrower"
    }
  }
}
```

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