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How to Use the Ziflow MCP in Claude Code

Automate content review pipelines in Ziflow, handling proofs and decisions using Claude Code's terminal execution.

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Claude Code

Connect Ziflow MCP to Claude Code

Create your Vinkius account to connect Ziflow to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Submit Proof Decisions via MCP Server

In a headless environment, you need reliability. Use `submit_decision` to programmatically finalize the proof status, logging the official decision date and outcome. This is critical for automated sign-off procedures.

Check Account Status via Claude Code

Before starting a pipeline, verify permissions by calling `get_account_info`. This tool returns basic account profile data, confirming that your CI/CD job has the necessary scope to proceed with content management.

Retrieve Specific Proofs in Pipelines

If a pipeline needs one specific piece of content, run `get_proof` using the proof ID. This retrieves all core details for that single proof instance, ensuring your script has the necessary data payload.

Setup guide

Set up Ziflow 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. 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. 2

    Verify the connection

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

  3. 3

    Start using tools

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

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

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Common questions about Ziflow MCP in Claude Code

You execute `search_proofs` from the terminal. The output is JSON, which your script can ingest directly to filter and process large volumes of proof records.
The `list_folders` tool returns a directory structure hierarchy. This allows your pipeline to map out all available content groupings within the Ziflow platform.
Yes, run `list_team_users`. The output is a clean list of user identifiers and names, ideal for passing to subsequent credential management steps in your workflow.
It does. Use `list_webhooks` to fetch the current status and configuration details of all active webhook endpoints that Ziflow manages.
The server handles proof metadata, contact emails, and user IDs. All interactions follow secure API calls, ensuring the integrity of your underlying system records.

Start using the Ziflow MCP today

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