# FrameThrower MCP Server

> FrameThrower MCP Server — framethrower-ai-framethrower-mcp. Use this tool when you need to connect MCP clients to a vast cinematography reference library, enabling searches by visual attributes, mood, or craft elements to find specific film frames. It solves problems of inspiration, reference, and research for filmmakers, allowing them to refine their searches through similar-frame discovery. Ideal for use in pre-production, storyboarding, or shot planning, it accepts search queries as input and outputs relevant film frames and similar matches.

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

## Description

Enables connecting any MCP client to a cinematography reference library of 5,489 films. Allows searching film frames by look, mood, or craft attributes, and refining through similar-frame discovery.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z2q251sl6g)
- **Repository:** <https://github.com/framethrower-ai/framethrower-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": "framethrower-ai-framethrower-mcp"
    }
  }
}
```

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