How to Use the Customerly MCP in Claude Code

Q: How do I configure Customerly for Claude Code?

Add the server to your /.claude.json config file. Use the standard transport flags to ensure the CLI can reach the tools.

Use Claude Code to automate your Customerly workflows from the command line.

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Connect Customerly MCP to Claude Code

Create your Vinkius account to connect Customerly 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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Setup Customerly with Claude Code

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Claude Code user management

Run `create_update_user` from your terminal to sync new signups with your marketing platform. It fits perfectly into your existing shell scripts. Need to purge inactive accounts? Use `delete_user` to keep your database lean. It executes in milliseconds, perfect for automated cron jobs.

Terminal-based Customerly conversations

Claude Code can query your support volume using `list_conversations`. It outputs the data directly to your console for quick analysis. Fetching a specific thread is simple with `get_conversation`. It pipes the message history into your standard output for easy parsing by other CLI tools.

Automated tagging via Claude Code

Integrate `add_tag` into your CI/CD pipeline. Claude Code tags users based on their onboarding progress without you needing to open a browser. This keeps your segments current. It uses `remove_tag` to clean up outdated categories as users move through your funnel.

Setup guide

Set up Customerly 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 customerly-mcp with a green status indicator.
3

Start using tools

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

Terminal

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

Get your connection token →

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 Customerly 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": {
    "customerly-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 Customerly. 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.

Why Choose Vinkius

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Common questions about Customerly MCP in Claude Code

Absolutely. Since it runs in the terminal, you can include MCP tool calls in your deployment scripts or GitHub Actions.

Add the server to your ~/.claude.json config file. Use the standard transport flags to ensure the CLI can reach the tools.

It uses an endpoint token you provide. The server does not keep your credentials on disk after the session ends.

Yes, run the list tool from your prompt. The output prints directly to the terminal for immediate inspection.

All conversation text is treated as ephemeral input. We use encrypted transport layers to ensure your support logs aren't intercepted during the fetch.

Use it with your favorite AI tools

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