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VS Code CopilotIDE
Why use Couchbase (Vector & NoSQL) MCP Server with VS Code Copilot?

Bring Nosql
to VS Code Copilot

Create your Vinkius account to connect Couchbase (Vector & NoSQL) to VS Code Copilot and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Execute N1ql QueryFts SearchGet DocumentList BucketsList IndexesList ScopesVector Search
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Couchbase (Vector & NoSQL)

What is the 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.

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

How it works

  1. Subscribe to this server
  2. Enter your Couchbase URL, Database Username, and Database Password
  3. Start querying your NoSQL and vector data from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • AI Developers — test and debug vector similarity searches and semantic matching for RAG applications
  • Data Architects — audit NoSQL data structures and verify collection organization across environments
  • Database Administrators — monitor search indexes and execute N1QL queries to verify data consistency
  • Product Teams — quickly prototype search features and audit JSON document schemas through natural language

Built-in capabilities (7)

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

Why VS Code Copilot?

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.

  • 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

See it in action

Couchbase (Vector & NoSQL) in VS Code Copilot

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Couchbase (Vector & NoSQL) with Vinkius?

The Couchbase (Vector & NoSQL) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

Couchbase (Vector & NoSQL)
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Couchbase (Vector & NoSQL) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Couchbase (Vector & NoSQL) and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Couchbase (Vector & NoSQL) to VS Code Copilot through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Couchbase (Vector & NoSQL) for VS Code Copilot

Every request between VS Code Copilot and Couchbase (Vector & NoSQL) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

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' 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.

03

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.

04

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.

05

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.

06

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.

07

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.

08

MCP tools not available

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

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