How to Use the Couchbase (Vector & NoSQL) MCP in Mastra AI

Build complex database workflows for Mastra AI using the Couchbase (Vector & NoSQL) server.

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Connect Couchbase (Vector & NoSQL) MCP to Mastra AI

Create your Vinkius account to connect Couchbase (Vector & NoSQL) 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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Setup Couchbase (Vector & NoSQL) with Mastra AI

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Multi-step Couchbase (Vector & NoSQL) logic in Mastra AI

Chain `list_buckets` and `list_scopes` to map out your database topology before running automated tasks. Your agents use this to understand the environment before they act. This prevents errors during runtime. The agent knows exactly where the data lives before it tries to touch a record.

Automated Mastra AI indexing with Couchbase (Vector & NoSQL)

Invoke `list_indexes` to verify your search structure is ready for heavy traffic. If an index is missing, the agent can flag it for your review. It keeps your database performance consistent. You avoid the manual chore of checking index status across multiple environments.

Search Couchbase (Vector & NoSQL) records in Mastra AI

Run `fts_search` to find text matches across your content trees. Mastra AI agents parse these results to make decisions on the next step in your workflow. It turns raw text into actionable intelligence. You get clear, structured data back for your conditional logic.

Setup guide

Set up Couchbase (Vector & NoSQL) 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Couchbase (Vector & NoSQL) tools become native Mastra tools.
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: "couchbase-vector-nosql-mcp-client",
  servers: {
    "couchbase-vector-nosql-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Couchbase (Vector & NoSQL) transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Couchbase. 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 Couchbase (Vector & NoSQL) MCP in Mastra AI

Add the server URL to your agent configuration. The framework automatically detects the tools and makes them available for your agent to call.

Yes, you can define retry logic in your workflow. If a database call fails, the agent attempts it again based on your backoff settings.

You can require tool approval before the agent executes a query. This adds a manual check before any database change occurs.

The agent lists and audits indexes using the provided tools. It ensures your search queries hit the right targets every time.

The server transmits only the requested data over an encrypted connection. Your database credentials and internal logs never leave the secure transport.

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