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Vinkius
CursorIDE
Why use Couchbase (Vector & NoSQL) MCP Server with Cursor?

Bring Nosql
to Cursor

Create your Vinkius account to connect Couchbase (Vector & NoSQL) to Cursor 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 Cursor?

Cursor's Agent mode turns Couchbase (Vector & NoSQL) into an in-editor superpower. Ask Cursor to generate code using live data from Couchbase (Vector & NoSQL) and it fetches, processes, and writes. all in a single agentic loop. 7 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

  • Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

  • Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

  • MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

  • VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

See it in action

Couchbase (Vector & NoSQL) in Cursor

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 Cursor 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 Cursor

Every request between Cursor 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

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

05

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

06

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

07

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

08

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

09

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

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