How to Use the Spiritme MCP in Claude Code

Q: What is the optimal workflow for Spiritme with Claude Code?

The best approach is to first retrieve all necessary IDs (list), then use those IDs to call generatevideo, and finally, poll for completion using getjobstatus within your script.

Run personalized video generation jobs via Spiritme MCP Server from your terminal with Claude Code.

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Setup Spiritme with Claude Code

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Execute Video Generation Jobs CLI

From the command line, you initiate content creation using `generate_video`. This is ideal for scheduled tasks or CI/CD where a human can't manually click buttons. You simply pipe the necessary parameters to the tool. Once launched, monitor progress with `get_job_status`. The terminal handles the asynchronous nature of video rendering cleanly.

Scripting Asset Retrieval with Spiritme MCP Server

Your scripts need asset IDs. Run `list_avatars` to get a full list, and then call `get_avatar --id <ID>` for detailed metadata extraction. This structured output is perfect for parsing into subsequent steps. Similarly, fetch template details using `get_template --id <ID>` before running the generation command.

Managing Video Lifecycle via Terminal

The server lets you manage assets end-to-end. If a scheduled video needs to be pulled back or deleted, execute `delete_video --id <ID>`. This is a crucial function for maintaining clean content pipelines. You can also use the listing tools—`list_videos`, `list_templates`, `list_voices`—as initial checks in your script.

Setup guide

Set up Spiritme MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see spiritme-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Spiritme transactions." It will automatically discover and invoke the available Spiritme tools.

Terminal

claude mcp add --transport http spiritme-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Spiritme MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "spiritme-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Spiritme MCP in Claude Code

The best approach is to first retrieve all necessary IDs (`list_*`), then use those IDs to call `generate_video`, and finally, poll for completion using `get_job_status` within your script.

The server primarily deals with media manifests: template structure (JSON), avatar/voice metadata (strings), and the final binary video files. All interactions are text-based initially.

You wrap your generation script in a loop that iterates through language codes. Inside the loop, you call `get_voice` for the correct locale and feed that ID directly into `generate_video`. It’s pure scripting power.

The primary limitation is error handling complexity; you must build robust try/catch blocks around every tool call, especially when dealing with network failures or invalid IDs.

Yes. Always run a dry-run script that checks the status using `get_job_status` on an old job ID first, before attempting to generate any live content.

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