Couchbase (Vector & NoSQL) MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Couchbase (Vector & NoSQL) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Couchbase (Vector & NoSQL), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Couchbase (Vector & NoSQL) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Couchbase (Vector & NoSQL) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 7 tools from Couchbase (Vector & NoSQL) and passes them to the LLM
Why Use Vercel AI SDK with the Couchbase (Vector & NoSQL) MCP Server
Vercel AI SDK provides unique advantages when paired with Couchbase (Vector & NoSQL) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Couchbase (Vector & NoSQL) integration everywhere
Built-in streaming UI primitives let you display Couchbase (Vector & NoSQL) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Couchbase (Vector & NoSQL) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Couchbase (Vector & NoSQL) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Couchbase (Vector & NoSQL) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Couchbase (Vector & NoSQL) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Couchbase (Vector & NoSQL) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Couchbase (Vector & NoSQL) through natural language queries
Couchbase (Vector & NoSQL) MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Couchbase (Vector & NoSQL) to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Couchbase (Vector & NoSQL) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCouchbase (Vector & NoSQL) + Vercel AI SDK FAQ
Common questions about integrating Couchbase (Vector & NoSQL) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.