How to Use the MindsDB (AI Database & Predictors) MCP in Claude Code

Q: How do I add MindsDB (AI Database & Predictors) to Claude Code?

Run the claude mcp add command with the server URL. Claude Code will then register the tools for use in your terminal sessions.

Q: Can I run scripts using MindsDB (AI Database & Predictors) in Claude Code?

You can script SQL operations by calling executesqlquery in your pipeline. It allows for automated model interaction in CI/CD flows.

Connect Claude Code to your predictive infrastructure to automate SQL queries and model audits.

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Connect MindsDB (AI Database & Predictors) MCP to Claude Code

Create your Vinkius account to connect MindsDB (AI Database & Predictors) 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 MindsDB (AI Database & Predictors) with Claude Code

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Automate SQL in Claude Code

Claude Code uses `execute_sql_query` to run commands in your terminal. It handles the input and output flow without extra prompts. Include a LIMIT in your SQL to keep the terminal output clean. This prevents long-running queries from cluttering your logs.

Audit models via Claude Code

Use `list_models` to inventory your trained AI engines. It outputs the list directly to your shell for quick review. If you need deeper info, use `get_model` to check specific predictor settings. This is standard for verifying model readiness.

Monitor status in Claude Code

Run `get_status` to get current cluster health specs. It returns the diagnostic data you need to confirm the server is running. Check `list_databases` to confirm which sources are connected. It ensures your environment is configured correctly for the current task.

Setup guide

Set up MindsDB (AI Database & Predictors) 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 mindsdb-ai-database-predictors-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest MindsDB (AI Database & Predictors) transactions." It will automatically discover and invoke the available MindsDB (AI Database & Predictors) tools.

Terminal

claude mcp add --transport http mindsdb-ai-database-predictors-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 MindsDB (AI Database & Predictors) 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": {
    "mindsdb-ai-database-predictors-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about MindsDB (AI Database & Predictors) MCP in Claude Code

Run the `claude mcp add` command with the server URL. Claude Code will then register the tools for use in your terminal sessions.

You can script SQL operations by calling `execute_sql_query` in your pipeline. It allows for automated model interaction in CI/CD flows.

Yes. Once you connect the server, Claude Code auto-discovers the tools. You can verify the list by running `claude mcp list`.

Always write your SQL with a LIMIT clause. This restricts the data returned to your terminal and keeps your workflow moving.

The server uses tokenized authentication to access your database. No plaintext credentials are stored in your shell history or terminal logs.

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