hummusonrails couchbase mcp server

hummusonrails couchbase mcp server avatar

by hummusonrails

What is hummusonrails couchbase mcp server

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.

Setup

  1. Clone the repository and install dependencies:
git clone [email protected]:hummusonrails/couchbase-mcp-server.git
cd couchbase-mcp-server
npm install
  1. 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.

  1. Build the project:
npm run build
  1. 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:

  1. Install dependences:
npm install
npm run build
  1. 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.

  1. 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.

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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