Edit videos with OpenClaw

OpenClaw is the self-hosted personal AI agent. Register PandaStudio with one CLI command, then chat with OpenClaw from Slack, Telegram, WhatsApp, Discord, or any of its 20+ connected messaging surfaces to edit videos.

Fastest path: open PandaStudio and go to Settings → Local automation → Connect agents for one-click setup. The steps below are the manual route if you prefer to wire it up yourself.
1

Install PandaStudio + OpenClaw

PandaStudio from writepanda.ai. Launch it once so the local credentials file is written — that's all the setup PandaStudio needs. Then install OpenClaw:

bash
npm install -g openclaw@latest

Run openclaw onboard --install-daemon once to set up the gateway and connect your first chat channel. Verify with openclaw --version.

2

Enable MCP support inside OpenClaw

OpenClaw ships MCP as an opt-in extra. Install it once:

bash
cd ~/.openclaw/openclaw-agent && uv pip install -e ".[mcp]"
3

Connect OpenClaw from PandaStudio Settings (one click)

Open PandaStudio, go to Settings → Local automation, and click the three buttons in this order:

  • Install to PATH — puts pandastudio-mcp on your $PATH so OpenClaw can launch it.
  • Connect agents → OpenClaw → Connect — registers PandaStudio as an MCP server with OpenClaw for you.
  • Install Skill — copies the official PandaStudio Skill into OpenClaw (and Claude / Codex / Hermes) so the agent knows what to do, not just how to call it.

Then reload OpenClaw so the new server registers, and confirm it started:

bash
openclaw mcp reload
openclaw mcp doctor pandastudio --probe

Prefer the terminal? Same registration via openclaw mcp add pandastudio --command pandastudio-mcp.

4

Message OpenClaw to drive PandaStudio

From any of OpenClaw's connected channels (Slack, Telegram, WhatsApp, Discord, the terminal), message OpenClaw:

  • "Open my latest recording, transcribe it, remove filler words and silences, then export an MP4."
  • "Create a new 9:16 project, import the file at ~/Recordings/launch.mov, add bold captions, and preview it."
  • "List all my projects from this week and tell me which one is longest."

Because OpenClaw runs locally and has memory + scheduling, you can also set up recurring jobs ("every Friday, transcribe my new recordings and draft titles for each").

Troubleshooting

  • Server won't start — run openclaw mcp doctor pandastudio --probe for diagnostic output. Most common cause: PandaStudio hasn't been launched yet, so the local credentials file doesn't exist.
  • Changes not taking effect — run openclaw mcp reload after any config edit. It refreshes the active MCP runtimes without bouncing the gateway.
  • "Why no token field?" — PandaStudio's MCP server reads its credentials from the local PandaStudio install (loopback only, never exposed to the internet). The desktop app writes them automatically on first launch. Nothing to copy, nothing to rotate.