# studio-state

> Use this tool when you need to manage and track project state in AI film and video production, ensuring consistent characters and continuity across multiple generative video tools. It solves problems of disjointed project management and inconsistent output by providing a centralized stateless server. The studio-state tool accepts project data as input and outputs updated project states and shot statuses.

Canonical page: https://skillsregistry.net/skills/dkf2studios-studio-state-public  
JSON: https://api.skillsregistry.net/v1/skills/dkf2studios-studio-state-public

## Description

A stateless MCP server for AI film and video production that tracks project state, shot status, and updates, enabling consistent characters and continuity across generative video tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j7kxd618ub)
- **Repository:** <https://github.com/dkf2studios/studio-state-public>

## 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": "dkf2studios-studio-state-public"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dkf2studios-studio-state-public` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dkf2studios-studio-state-public/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