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.

How do I execute a N1QL query through the agent?

Use the 'execute_n1ql_query' tool 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.

Can I search documents using full-text query logic?

Absolutely. The 'fts_search' tool 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.

Couchbase (Vector & NoSQL) MCP Server for VS Code Copilot 7 tools — connect in under 2 minutes

Name: Couchbase (Vector & NoSQL)
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 7 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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Classic Setup·json

{
  "mcpServers": {
    "couchbase-vector-nosql": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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* 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.

GitHub Copilot Agent mode brings Couchbase (Vector & NoSQL) data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 7 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the Couchbase (Vector & NoSQL) MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Couchbase (Vector & NoSQL)

Ask Copilot: "Using Couchbase (Vector & NoSQL), help me...". 7 tools available

Why Use VS Code Copilot with the Couchbase (Vector & NoSQL) MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Couchbase (Vector & NoSQL) through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Couchbase (Vector & NoSQL) + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Couchbase (Vector & NoSQL) MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Couchbase (Vector & NoSQL) MCP Tools for VS Code Copilot (7)

These 7 tools become available when you connect Couchbase (Vector & NoSQL) to VS Code Copilot 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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

Common issues when connecting Couchbase (Vector & NoSQL) to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Couchbase (Vector & NoSQL) + VS Code Copilot FAQ

Common questions about integrating Couchbase (Vector & NoSQL) MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.