# CrewOne

> Use this tool when you need to streamline film production planning in Taiwan, as it provides access to equipment rental rates, studio listings, and talent references, allowing users to create and manage production projects with optional cloud synchronization. CrewOne solves problems related to pre-production planning, equipment sourcing, and talent scouting, making it an essential resource for film professionals. It takes in search queries and API keys as inputs and outputs relevant data, such as equipment pricing and talent profiles, to facilitate informed decision-making.

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

## Description

CrewOne is a platform for Taiwan-based film production professionals, providing equipment rental rates, studio listings, and photographer and director references for AI-assisted pre-production planning. Agents can search equipment pricing, studios, and talent profiles, and create production projects with optional cloud synchronization via a CrewOne API key.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/crewone)
- **Repository:** <https://github.com/tzipway-dotcom/crewone-mcp-server>

## 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": "crewone"
    }
  }
}
```

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