Couchbase: Lightning-Fast NoSQL & Seamless Global Scale

Couchbase delivers lightning-fast, globally consistent NoSQL performance for real-time apps – scaling seamlessly with your ambition, built for speed, simplicity, and enterprise resilience.

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About Couchbase

What is Couchbase: Lightning-Fast NoSQL & Seamless Global Scale?

Couchbase is a high-performance NoSQL database engineered for real-time applications requiring both speed and global scalability. Its MCP Server implementation bridges the gap between advanced AI tools like Claude Desktop and Couchbase Capella clusters. By translating natural language queries into optimized SQL++ statements, it enables seamless interaction with distributed data. This eliminates the need for manual query crafting, making complex database operations accessible even to non-technical users.

How to Use Couchbase: Lightning-Fast NoSQL & Seamless Global Scale?

Deploying the MCP Server involves four straightforward steps: clone the repository, configure environment variables with your Couchbase credentials, build the project, and execute the server. Once running, users can issue commands like "Show me the latest orders from my bucket", which the server converts into precise queries. Integration with tools like Claude Desktop requires configuring the client to communicate via local Stdio transport, ensuring low-latency interaction with distributed datasets.

Couchbase Features

Key Features of Couchbase: Lightning-Fast NoSQL & Seamless Global Scale?

The core feature is its query-couchbase tool, which handles SQL++ execution transparently. This includes:

Automatic translation of natural language to database queries
Real-time result formatting for human readability
Scalable architecture supporting global data distribution
Node.js SDK integration for robust performance

Use Cases of Couchbase: Lightning-Fast NoSQL & Seamless Global Scale?

Operational teams use it for:

Retail Analytics: "List top-selling products in the US region this week" becomes an optimized distributed query across multi-region Capella clusters.

Log Monitoring: "Find all error entries from the last 24 hours" executes across petabyte-scale log data stored in Couchbase buckets.

Couchbase FAQ

FAQ: Couchbase & Global Data Systems

How does it maintain performance at scale?

Couchbase's distributed architecture partitions data across nodes, while the MCP Server uses intelligent query routing to minimize latency even with geographically dispersed datasets.

Is it compatible with existing systems?

Full compatibility with Couchbase Capella cloud deployments and on-premises clusters. The REST-based API allows integration with any tool supporting JSON queries.

Can it handle high write volumes?

Yes. The underlying Couchbase database is designed for millions of operations per second, with ACID compliance for critical transactions.

Content

Couchbase MCP Server

The Model Context Protocol (MCP) is a protocol for handling interactions between large language models (LLMs) and external systems. This repository implements a Couchbase MCP Server using the Couchbase Node.js SDK, enabling MCP clients (e.g., Claude Desktop) to perform natural language queries on Couchbase Capella clusters.

With this server you can use commands like:

Show me the results of SELECT * FROM my_bucket LIMIT 10
Execute this query: SELECT name, age FROM users WHERE active = true
Get me the latest 5 documents from my_bucket
Summarize the latest 5 orders from the orders bucket for me

Example

The following screenshot shows the MCP server in action with the Claude Desktop client. The user issues a general request in plain English and the MCP server translates it into a SQL++ query that is executed against the Couchbase Capella cluster. The results are then returned to the user in a readable format.

Example Screenshot of the MCP server working in Claude

Setup

Clone the repository and install dependencies:

git clone [[email protected]](/cdn-cgi/l/email-protection):hummusonrails/couchbase-mcp-server.git
cd couchbase-mcp-server
npm install

Create a .env file in the root directory and add your Couchbase connection string, username, and password:

COUCHBASE_CONNECTION_STRING=couchbases://your-cluster.cloud.couchbase.com
COUCHBASE_USERNAME=your_username
COUCHBASE_PASSWORD=your_password

Refer to the .env.sample file for the required environment variables.

Build the project:

npm run build

Run the server using Stdio transport:

npx couchbase-mcp-server

[!NOTE] The MCP server uses the StdioServerTransport, so it communicates over standard input/output. Ensure that your MCP client (e.g., Claude Desktop) is configured to use a local MCP server. Follow the Claude Desktop documentation to set up the MCP client to connect to the local server.

Features

Couchbase Query Tool

ToolName: query-couchbase
Description: Executes a SQL++ query statement on your Couchbase Capella cluster.
Usage : When invoked, the server will use the Couchbase Node.js SDK to execute the provided SQL++ query and return the results.

Developing

To work on the project locally:

Install dependences:

npm install
npm run build

Test the server using an MCP client:

Launch your MCP client (e.g., Claude Desktop) configured to connect and invoke the tool using a sample query.

Debugging

All logging messages are sent to stderr to ensure that stdout only contains MCP protocol JSON. Check your logs for detailed connection and error messages.

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue with your suggestions. For any changes, ensure you follow the project’s code style.

License

This project is licensed under the MIT License. See the LICENSE file for details.