Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Couchbase with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage vector search and NoSQL via Couchbase. execute N1QL queries, perform KNN vector searches, and audit documents directly from any AI agent.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 7 capabilities

The complete Couchbase capability set.

These are the exact actions your AI can choose when you ask it to work with Couchbase.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Couchbase.

  1. 01

    Execute n1ql query

    Provision a highly-available JSON Payload generating generic N1QL constraints

  2. 02

    List buckets

    Identify bounded routing spaces inside the Headless Couchbase DB

  3. 03

    List indexes

    Enumerate explicitly attached structured rules exporting active Search Indexes

  4. 04

    List scopes

    Retrieve explicit UX logging tracing explicit Scope and Collection Object limits

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Couchbase.

  1. 05

    Fts search

    Perform structural text-based extraction matching asynchronous Content Trees

  2. 06

    Get document

    Fetch elaborate internal mapped properties limiting Couchbase KV documents

  3. 07

    Vector search

    Execute static listing mapping structural KNN Vector similarities via Index

Observed, not estimated

843ms average. Fast in production.

Couchbase is checked daily against the live service.

Daily averagePeak 1017ms
Aug 20Today
Fastest day
655ms
Slowest day
1017ms
14-day trend
Slowing+36%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Couchbase, so you can see the experience inside your AI.

It does not authenticate your account with Couchbase. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Couchbase Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_wWaJnEVjNwe96vxf5IajtX1h1rZH9VkCF8KWnsvT/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Couchbase capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "couchbase-vector-nosql-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_wWaJnEVjNwe96vxf5IajtX1h1rZH9VkCF8KWnsvT/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Couchbase owners ask.

  • 01

    Can my agent perform K-Nearest Neighbor (KNN) vector searches in Couchbase?

    Yes. Provide the search index name, the vector embedding array, and the number of results (k). The agent uses Couchbase's native vector capabilities to locate the most semantically similar documents in your cluster.

  • 02

    How do I execute a N1QL query through the agent?

    Use the 'execute_n1ql_query' capability and provide your SQL-like statement. The agent will fetch the structural JSON blocks directly from Couchbase, allowing you to perform complex data retrieval using familiar SQL syntax.

  • 03

    Can I search documents using full-text query logic?

    Absolutely. The 'fts_search' capability leverages Couchbase's Full-Text Search (FTS) engine. Provide an index name and a boolean query string to perform structural text-based extraction across your document trees.

Explore

More in Databases

Suggestions