# davinci-resolve-ai-bridge-mcp

Source: https://glimind.com/server/npm%2Fdavinci-resolve-ai-bridge-mcp
Registry id: `npm/davinci-resolve-ai-bridge-mcp`
Status: unknown

## Install

```json
{
  "mcpServers": {
    "davinci-resolve-ai-bridge-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "davinci-resolve-ai-bridge-mcp"
      ]
    }
  }
}
```

Claude Code:

```sh
claude mcp add davinci-resolve-ai-bridge-mcp -- npx -y davinci-resolve-ai-bridge-mcp
```

## Tools (6)

- `insert_title`: Best-effort title insertion; check text_set.
- `inspect_fusion`: Read-only view of a clip's Fusion nodes and the bridge's effect chain.
- `project_health`: Check active-timeline missing sources, gaps, disabled/locked tracks/clips, supplied delivery expectations and Resolve Free's UHD/60 fps render limits.
- `split_clip`: Rebuild a normal-speed clip into two pieces with a verified timeline checkpoint first.
- `timeline_audio`: Source PCM peak/RMS per channel, silence intervals, energy envelope, onsets, activity clusters or a trimmed WAV.
- `timeline_frame`: Return a native MCP image plus metadata from the timeline.

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.