# studio-mcp

> Use this tool when you need to automate and streamline film production pipelines, solving problems such as inefficient shot planning and quality control. It takes in briefs and outputs final cuts, utilizing block-method planning and style-drift QC to ensure high-quality results. Ideal for use cases where LLM agents require orchestration of complex film production workflows.

Canonical page: https://skillsregistry.net/skills/rishbjain1-studio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rishbjain1-studio-mcp

## Description

Enables LLM agents to orchestrate a film production pipeline from brief to final cut, including shot planning, rendering, quality control, and assembly, using block-method planning and style-drift QC.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mtusv66c5w)
- **Repository:** <https://github.com/rishbjain1/studio-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": "rishbjain1-studio-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rishbjain1-studio-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rishbjain1-studio-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