Couchbase (Vector & NoSQL) MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Couchbase (Vector & NoSQL) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"couchbase-vector-nosql": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Couchbase (Vector & NoSQL) Agent",
instructions:
"You help users interact with Couchbase (Vector & NoSQL) " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Couchbase (Vector & NoSQL)?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Couchbase (Vector & NoSQL) MCP Server
Connect your Couchbase (Capella or self-hosted) cluster to any AI agent and take full control of your NoSQL and vector data through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Couchbase (Vector & NoSQL) tool infrastructure. Connect 7 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Vector Search (KNN) — Execute direct searches mapping AI embeddings to locate textual similarities using native vector indices
- N1QL SQL-for-JSON — Push absolute explicit querying using N1QL (SQL for Couchbase) to retrieve complex JSON structures across your buckets
- Document CRUD — Fetch elaborate internal properties and retrieve exact Data maps from specific collections using unique document keys
- Full-Text Search (FTS) — Perform structural text-based extraction matching query strings across advanced FTS search indexes
- Schema Navigation — Identify bounded routing spaces including Buckets, Scopes, and Collections to understand your data organization
- Index Auditing — Enumerate explicitly registered Search Indexes and verify vector definitions and cluster configurations
The Couchbase (Vector & NoSQL) MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Couchbase (Vector & NoSQL) to Mastra AI via MCP
Follow these steps to integrate the Couchbase (Vector & NoSQL) MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Couchbase (Vector & NoSQL) via MCP
Why Use Mastra AI with the Couchbase (Vector & NoSQL) MCP Server
Mastra AI provides unique advantages when paired with Couchbase (Vector & NoSQL) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Couchbase (Vector & NoSQL) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Couchbase (Vector & NoSQL) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Couchbase (Vector & NoSQL) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Couchbase (Vector & NoSQL) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Couchbase (Vector & NoSQL), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Couchbase (Vector & NoSQL) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Couchbase (Vector & NoSQL) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Couchbase (Vector & NoSQL) tools alongside other MCP servers
Couchbase (Vector & NoSQL) MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Couchbase (Vector & NoSQL) to Mastra AI via MCP:
execute_n1ql_query
Provision a highly-available JSON Payload generating generic N1QL constraints
fts_search
Perform structural text-based extraction matching asynchronous Content Trees
get_document
Fetch elaborate internal mapped properties limiting Couchbase KV documents
list_buckets
Identify bounded routing spaces inside the Headless Couchbase DB
list_indexes
Enumerate explicitly attached structured rules exporting active Search Indexes
list_scopes
Retrieve explicit UX logging tracing explicit Scope and Collection Object limits
vector_search
Execute static listing mapping structural KNN Vector similarities via Index
Example Prompts for Couchbase (Vector & NoSQL) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Couchbase (Vector & NoSQL) immediately.
"List all search indexes in my cluster"
"Find the top 3 similar products using this vector: [0.12, -0.5, 0.88]"
"Run N1QL query: 'SELECT name, price FROM `travel-sample` WHERE price < 100 LIMIT 5'"
Troubleshooting Couchbase (Vector & NoSQL) MCP Server with Mastra AI
Common issues when connecting Couchbase (Vector & NoSQL) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpCouchbase (Vector & NoSQL) + Mastra AI FAQ
Common questions about integrating Couchbase (Vector & NoSQL) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Couchbase (Vector & NoSQL) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Couchbase (Vector & NoSQL) to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.