How to Use the UnifyApps MCP in Claude Code

Q: If I need to verify a system change, how can UnifyApps help me with Claude Code?

You pipe the output of listactiveconnections into a validation script. This confirms that all required accounts are still connected before you let the new code run in production.

Q: Does UnifyApps support listing agent configurations for Claude Code?

Yes, it does. The MCP Server provides listaiagents specifically so that your CLI script can list all configured AI agents and validate their status.

Q: Which data type can I audit privacy with UnifyApps and Claude Code?

You manage connection audits by running the listactiveconnections tool. This shows you exactly which accounts are live, giving you a clean record for compliance checks.

Automate CI/CD and backend processes with Claude Code. Run complex platform audits from any terminal command.

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Connect UnifyApps MCP to Claude Code

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Setup UnifyApps with Claude Code

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List all UnifyApps integrations for pipelines.

Use `list_integrations` in a script to get an inventory of every configured integration. This is perfect for pre-flight checks before deployment. For deeper checks, you can run `get_integration_details`. The output provides structured data on how a specific integration functions, which your pipeline needs.

Automate flow monitoring in CI/CD.

You don't need a GUI to check logs. Run `list_flow_executions` from the command line to pull recent execution history for automation flows. This is key for automated testing. You can also list all available process definitions using `list_automation_flows`. Your script knows exactly what processes are defined in UnifyApps.

Audit environment status via CLI.

The terminal lets you check the system state quickly. Run `list_ai_agents` to list all configured AI agents, ensuring your pipeline doesn't rely on a deprecated agent. You can confirm connectivity by calling `list_active_connections`, providing confirmation that required user accounts are still linked.

Setup guide

Set up UnifyApps 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 unifyapps-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http unifyapps-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 UnifyApps 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": {
    "unifyapps-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by UnifyApps. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about UnifyApps MCP in Claude Code

You use the MCP Server to run scripts. For example, you combine `list_automation_flows` and `list_flow_executions` in a shell script to build an audit report of all running processes.

The server exposes six functions. These include listing integrations (`list_integrations`), getting single integration details (`get_integration_details`), and checking agent status with `list_ai_agents`.

You pipe the output of `list_active_connections` into a validation script. This confirms that all required accounts are still connected before you let the new code run in production.

Yes, it does. The MCP Server provides `list_ai_agents` specifically so that your CLI script can list all configured AI agents and validate their status.

You manage connection audits by running the `list_active_connections` tool. This shows you exactly which accounts are live, giving you a clean record for compliance checks.

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