Couchbase Server Integration

Remote

API Integration

Integrate this MCP server into your applications.

Get your API Key

You'll need to login and generate a Smithery API key to connect to this server.

Installation

Install the official MCP SDKs using npm:

npm install @modelcontextprotocol/sdk

TypeScript SDK

typescript


import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"

const serverUrl = new URL("https://server.smithery.ai/@Couchbase-Ecosystem/mcp-server-couchbase/mcp")
const config = {
  "CB_PASSWORD": "string",
  "CB_USERNAME": "string",
  "CB_BUCKET_NAME": "string",
  "CB_CONNECTION_STRING": "string"
}
const configString = JSON.stringify(config)
serverUrl.searchParams.set("config", btoa(configString))
serverUrl.searchParams.set("api_key", "your-smithery-api-key")

const transport = new StreamableHTTPClientTransport(serverUrl)

// Create MCP client
import { Client } from "@modelcontextprotocol/sdk/client/index.js"

const client = new Client({
	name: "Test client",
	version: "1.0.0"
})
await client.connect(transport)

// Use the server tools with your LLM application
const tools = await client.listTools()
console.log(`Available tools: ${tools.map(t => t.name).join(", ")}`)

Configuration Schema

Full JSON Schema for server configuration:

json

{
  "type": "object",
  "required": [
    "CB_CONNECTION_STRING",
    "CB_USERNAME",
    "CB_PASSWORD",
    "CB_BUCKET_NAME"
  ],
  "properties": {
    "CB_PASSWORD": {
      "type": "string",
      "description": "The password for the username to connect"
    },
    "CB_USERNAME": {
      "type": "string",
      "description": "The username with access to the bucket to use to connect"
    },
    "CB_BUCKET_NAME": {
      "type": "string",
      "description": "The name of the bucket that the server will access"
    },
    "CB_CONNECTION_STRING": {
      "type": "string",
      "description": "The connection string for the Couchbase cluster."
    }
  }
}