How to Use the SmartChatAI MCP in Claude Code

Q: How does SmartChatAI handle data privacy when using Claude Code?

When running automated processes, the server handles getbotchathistory. Since this is run in a headless environment, you need to ensure that all conversation transcripts are appropriately secured and logged.

Q: What if I want to list chatbots using SmartChatAI and Claude Code?

Simply call listaichatbots. This command outputs the current roster of bots, which is useful for scripting loops that need to interact with every available agent.

Q: Can SmartChatAI use Claude Code to check API status?

Absolutely. Running checkapihealth provides a quick, reliable status code for the entire MCP Server connection. It's essential for any automated deployment script.

Q: How do I verify bot configuration details with SmartChatAI and Claude Code?

Use getchatbotdetails. By providing the bot ID, your shell script retrieves all current settings. This is key when updating configurations in a zero-GUI environment.

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Setup SmartChatAI with Claude Code

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Provisioning Agents in the Terminal

Need to deploy a new bot for a pipeline? Use `create_new_ai_bot`. You can script this call, passing both the name and an initial prompt directly into your shell command. This makes onboarding agents repeatable. It's ideal for CI/CD: you define the bot setup in code, run it through your job runner, and know it’s ready to go.

Managing Bot Knowledge Bases via MCP Server

Training bots from data is simple. You can ingest PDFs with `add_pdf_to_knowledge_base`, or feed the bot raw text using `add_text_to_knowledge_base`. For dynamic content, use `add_website_to_knowledge_base` to pull data from a URL. These tools are perfect for automated knowledge base updates during nightly jobs.

Monitoring Bot Health and Status

Before running any large batch job, check the system health. `check_api_health` confirms that the entire MCP Server is online and responsive. You can also use `list_configured_webhooks` to verify all external connection points are active. This gives your scripts the confidence they need to run multi-step operations without failing due to connectivity issues.

Setup guide

Set up SmartChatAI 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 smartchatai-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http smartchatai-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 SmartChatAI 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": {
    "smartchatai-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 SmartChatAI. 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 SmartChatAI MCP in Claude Code

When running automated processes, the server handles `get_bot_chat_history`. Since this is run in a headless environment, you need to ensure that all conversation transcripts are appropriately secured and logged.

Simply call `list_ai_chatbots`. This command outputs the current roster of bots, which is useful for scripting loops that need to interact with every available agent.

Absolutely. Running `check_api_health` provides a quick, reliable status code for the entire MCP Server connection. It's essential for any automated deployment script.

Use `get_chatbot_details`. By providing the bot ID, your shell script retrieves all current settings. This is key when updating configurations in a zero-GUI environment.

The server touches sensitive operational data like user profiles via `get_authenticated_user_profile` and the full content of conversation transcripts, making access control vital.

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