How to Use the ChatBot.com MCP in Claude Code

Use Claude Code to automate your ChatBot.com maintenance and log analysis directly from the terminal.

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Connect ChatBot.com MCP to Claude Code

Create your Vinkius account to connect ChatBot.com 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 ChatBot.com with Claude Code

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Claude Code monitors bot interactions

Use this MCP server to pipe `list_story_interactions` into your shell scripts. It lets you build cron jobs that alert you to failing bot workflows. This keeps your terminal focused on bot health. You can parse the JSON output of the tools directly without opening a browser.

Manage webhooks via Claude Code

Run `list_chatbot_webhooks` to verify your integrations from the CLI. It ensures your bot is connected to the right services without needing a GUI. It is built for DevOps engineers who prefer command-line control. You define the flow, and the server provides the raw data for your pipelines.

Extract training data with Claude Code

Your CI/CD pipeline can run `list_training_data` to catch unrecognized phrases in your build logs. It identifies gaps in your NLP model automatically. You then use `list_chatbot_entities` to see what is missing. It provides a clean way to integrate bot updates into your terminal-based workflow.

Setup guide

Set up ChatBot.com 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 chatbotcom-mcp with a green status indicator.
3

Start using tools

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

Terminal

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

Get your connection token →

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Why Choose Vinkius

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ChatBot.com MCP in Claude Code

Yes, you can run them as part of your terminal tasks. Just add the server to your ~/.claude.json config and use the tools in your scripts.

It uses standard HTTP transport to connect to the MCP server. You manage the endpoint and authentication directly in your terminal configuration.

It is fully supported for CLI-based workflows. You can list stories, users, and training data without ever leaving your shell.

Run the command 'claude mcp add' with the required transport flags. It adds the server to your config file so it's ready for any script.

All data flows through an ephemeral, isolated sandbox. We do not persist your bot's user interaction data, ensuring your logs stay out of our infrastructure.

Use it with your favorite AI tools

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