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How to Use the CockroachDB Cloud MCP in Mastra AI

Build complex CockroachDB Cloud workflows in Mastra AI with automatic retries and conditional logic.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect CockroachDB Cloud MCP to Mastra AI

Create your Vinkius account to connect CockroachDB Cloud to Mastra AI 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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Automated cluster audits for Mastra AI

Trigger multi-step workflows that verify your database security posture. Use `list_network_allowlist` and `list_encryption_keys` to build a chain that alerts you if a cluster lacks proper protection. If the tool returns an empty or insecure list, Mastra AI handles the branch logic. You can build self-healing pipelines that flag issues the moment they appear.

Scaling operations in Mastra AI

Automate your cluster management by using `list_cluster_operations` to monitor maintenance cycles. You can set up a workflow that waits for an upgrade to finish before proceeding with other tasks. It removes the need for you to manually poll for status updates. The agent framework handles the timing and logic, keeping your infrastructure flow moving.

Unified cluster management in Mastra AI

Pull comprehensive inventory from your account using `list_cockroach_clusters` and `get_cluster_cloud_details`. This allows your agents to make informed decisions based on your current cloud provider and region. It acts as a single source of truth for your agent crew. You gain full visibility into your distributed SQL footprint.

Setup guide

Set up CockroachDB Cloud MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All CockroachDB Cloud tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "cockroachdb-cloud-mcp-client",
  servers: {
    "cockroachdb-cloud-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "CockroachDB Cloud Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to CockroachDB Cloud tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent CockroachDB Cloud transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CockroachDB Cloud. 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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Built-in savings

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

Common questions about CockroachDB Cloud MCP in Mastra AI

Install the MCP client package and define your server URL in the Mastra agent config. Once connected, your agent can call tools like `list_cockroach_clusters` as part of its workflow.
Mastra AI supports automatic retries and exponential backoff for all MCP tools. If a call to CockroachDB Cloud fails, the workflow engine handles the error recovery for you.
You can enable manual approval for any tool call to prevent accidental changes. This ensures a human reviews sensitive actions before the agent executes them against your database cluster.
Simply include the `list_cluster_nodes` tool in your agent's definition. The framework will resolve the tool and let your agent request node details whenever the workflow logic requires it.
All communication between the agent and the server is encrypted in transit. Your cluster authentication tokens are never exposed to the agent framework, keeping your database credentials strictly isolated.

Start using the CockroachDB Cloud MCP today

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