How to Use the Couchbase (Vector & NoSQL) MCP in Windsurf

Q: Can Windsurf handle complex Couchbase (Vector & NoSQL) search indexes?

Yes. Cascade uses listindexes to identify available search paths before running an ftssearch command. It maps your query to the right index every time.

Cascade chains Couchbase (Vector & NoSQL) operations directly in Windsurf to build data-driven features without manual prompts.

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Connect Couchbase (Vector & NoSQL) MCP to Windsurf

Create your Vinkius account to connect Couchbase (Vector & NoSQL) to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Couchbase (Vector & NoSQL) with Windsurf

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Perplexity

Autonomous N1QL Execution

Cascade uses `execute_n1ql_query` to fetch specific JSON payloads from your database. It handles the syntax so you get raw data back instantly. You skip writing boilerplate queries. Windsurf takes your goal and runs the request against your cluster without waiting for your input.

Vector Similarity Search

The `vector_search` tool lets Cascade perform KNN lookups on your embeddings. It maps structural similarities across your dataset to find relevant document clusters. This MCP Server handles the math so Cascade can focus on building your feature. You get precise results matched to your application context.

Deep Document Inspection

Use `get_document` to inspect specific keys and values within your Couchbase instance. Cascade navigates your bucket structure to pull exact records. It avoids guessing schema layouts by checking `list_buckets` and `list_scopes` first. You see exactly what's inside your production data.

Setup guide

Set up Couchbase (Vector & NoSQL) MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Couchbase (Vector & NoSQL) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Couchbase (Vector & NoSQL) payment history." If connected, Cascade will call the Couchbase (Vector & NoSQL) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Couchbase. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Couchbase (Vector & NoSQL) MCP in Windsurf

Open your Windsurf settings and locate the Cascade MCP panel. Paste the server configuration into the JSON file and restart the agent.

Yes. Cascade uses `list_indexes` to identify available search paths before running an `fts_search` command. It maps your query to the right index every time.

It does. You can ask Cascade to audit documents or check scope limits using the provided tools. It brings live database state into your coding window.

Vinkius handles your connection tokens securely. Your environment variables never leak into the Windsurf agent process during execution.

This server only accesses the specific JSON documents and indexes you authorize. It keeps your raw customer data isolated within the Vinkius sandbox.

Use it with your favorite AI tools

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