Couchbase MCP Server

An MCP server implementation of Couchbase that allows LLMs to directly interact with Couchbase clusters.

Features

• Get a list of all the buckets in the cluster
• Get a list of all the scopes and collections in the specified bucket
• Get a list of all the scopes in the specified bucket
• Get a list of all the collections in a specified scope and bucket. Note that this tool requires the cluster to have Query service.
• Get the structure for a collection
• Get a document by ID from a specified scope and collection
• Upsert a document by ID to a specified scope and collection
• Delete a document by ID from a specified scope and collection
• Run a SQL++ query on a specified scope
  • Queries are automatically scoped to the specified bucket and scope, so use collection names directly (e.g., use SELECT * FROM users instead of SELECT * FROM bucket.scope.users)
  • There is an option in the MCP server, CB_MCP_READ_ONLY_QUERY_MODE that is set to true by default to disable running SQL++ queries that change the data or the underlying collection structure. Note that the documents can still be updated by ID.
• Get the status of the MCP server
• Check the cluster credentials by connecting to the cluster
• List all indexes in the cluster with their definitions, with optional filtering by bucket, scope, collection and index name.
• Get index recommendations from Couchbase Index Advisor for a given SQL++ query to optimize query performance
• Get cluster health status and list of all running services
• Query performance analysis tools:
  • Get longest running queries by average service time
  • Get most frequently executed queries
  • Get queries with the largest response sizes
  • Get queries with the largest result counts
  • Get queries that use a primary index (potential performance concern)
  • Get queries that don't use a covering index
  • Get queries that are not selective (index scans return many more documents than final result)

Prerequisites

• Python 3.10 or higher.
• A running Couchbase cluster. The easiest way to get started is to use Capella free tier, which is fully managed version of Couchbase server. You can follow instructions to import one of the sample datasets or import your own.
• uv installed to run the server.
• An MCP client such as Claude Desktop installed to connect the server to Claude. The instructions are provided for Claude Desktop and Cursor. Other MCP clients could be used as well.

Configuration

The MCP server can be run either from the prebuilt PyPI package or the source using uv.

Running from PyPI

We publish a pre built PyPI package for the MCP server.

Server Configuration using Pre built Package for MCP Clients

Basic Authentication

{
  "mcpServers": {
    "couchbase": {
      "command": "uvx",
      "args": ["couchbase-mcp-server"],
      "env": {
        "CB_CONNECTION_STRING": "couchbases://connection-string",
        "CB_USERNAME": "username",
        "CB_PASSWORD": "password"
      }
    }
  }
}

or

mTLS

{
  "mcpServers": {
    "couchbase": {
      "command": "uvx",
      "args": ["couchbase-mcp-server"],
      "env": {
        "CB_CONNECTION_STRING": "couchbases://connection-string",
        "CB_CLIENT_CERT_PATH": "/path/to/client-certificate.pem",
        "CB_CLIENT_KEY_PATH": "/path/to/client.key"
      }
    }
  }
}

Note: If you have other MCP servers in use in the client, you can add it to the existing mcpServers object.

Running from Source

The MCP server can be run from the source using this repository.

Clone the repository to your local machine.

git clone https://github.com/Couchbase-Ecosystem/mcp-server-couchbase.git

Server Configuration using Source for MCP Clients

This is the common configuration for the MCP clients such as Claude Desktop, Cursor, Windsurf Editor.

{
  "mcpServers": {
    "couchbase": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/cloned/repo/mcp-server-couchbase/",
        "run",
        "src/mcp_server.py"
      ],
      "env": {
        "CB_CONNECTION_STRING": "couchbases://connection-string",
        "CB_USERNAME": "username",
        "CB_PASSWORD": "password"
      }
    }
  }
}

Note: path/to/cloned/repo/mcp-server-couchbase/ should be the path to the cloned repository on your local machine. Don't forget the trailing slash at the end!

Note: If you have other MCP servers in use in the client, you can add it to the existing mcpServers object.

Additional Configuration for MCP Server

The server can be configured using environment variables or command line arguments:

Note: For authentication, you need either the Username and Password or the Client Certificate and key paths. Optionally, you can specify the CA root certificate path that will be used to validate the server certificates. If both the Client Certificate & key path and the username and password are specified, the client certificates will be used for authentication.

You can also check the version of the server using:

uvx couchbase-mcp-server --version

Client Specific Configuration

Streamable HTTP Transport Mode

The MCP Server can be run in Streamable HTTP transport mode which allows multiple clients to connect to the same server instance via HTTP. Check if your MCP client supports streamable http transport before attempting to connect to MCP server in this mode.

Note: This mode does not include authorization support.

Usage

By default, the MCP server will run on port 8000 but this can be configured using the --port or CB_MCP_PORT environment variable.

uvx couchbase-mcp-server \
  --connection-string='<couchbase_connection_string>' \
  --username='<database_username>' \
  --password='<database_password>' \
  --read-only-query-mode=true \
  --transport=http

The server will be available on http://localhost:8000/mcp. This can be used in MCP clients supporting streamable http transport mode such as Cursor.

MCP Client Configuration

{
  "mcpServers": {
    "couchbase-http": {
      "url": "http://localhost:8000/mcp"
    }
  }
}

SSE Transport Mode

There is an option to run the MCP server in Server-Sent Events (SSE) transport mode.

Note: SSE mode has been deprecated by MCP. We have support for Streamable HTTP.

Usage

By default, the MCP server will run on port 8000 but this can be configured using the --port or CB_MCP_PORT environment variable.

uvx couchbase-mcp-server \
  --connection-string='<couchbase_connection_string>' \
  --username='<database_username>' \
  --password='<database_password>' \
  --read-only-query-mode=true \
  --transport=sse

The server will be available on http://localhost:8000/sse. This can be used in MCP clients supporting SSE transport mode such as Cursor.

MCP Client Configuration

{
  "mcpServers": {
    "couchbase-sse": {
      "url": "http://localhost:8000/sse"
    }
  }
}

Docker Image

The MCP server can also be built and run as a Docker container. Prebuilt images can be found on DockerHub.

Alternatively, we are part of the Docker MCP Catalog.

Building Image

docker build -t mcp/couchbase .

docker build --build-arg GIT_COMMIT_HASH=$(git rev-parse HEAD) \
  --build-arg BUILD_DATE=$(date -u +'%Y-%m-%dT%H:%M:%SZ') \
  -t mcp/couchbase .

./build.sh

# View git commit hash in image
docker inspect --format='{{index .Config.Labels "org.opencontainers.image.revision"}}' mcp/couchbase:latest

# View all metadata labels
docker inspect --format='{{json .Config.Labels}}' mcp/couchbase:latest

Running

The MCP server can be run with the environment variables being used to configure the Couchbase settings. The environment variables are the same as described in the Configuration section.

Independent Docker Container

docker run --rm -i \
  -e CB_CONNECTION_STRING='<couchbase_connection_string>' \
  -e CB_USERNAME='<database_user>' \
  -e CB_PASSWORD='<database_password>' \
  -e CB_MCP_TRANSPORT='<http|sse|stdio>' \
  -e CB_MCP_READ_ONLY_QUERY_MODE='<true|false>' \
  -e CB_MCP_PORT=9001 \
  -p 9001:9001 \
  mcp/couchbase

The CB_MCP_PORT environment variable is only applicable in the case of HTTP transport modes like http and sse.

MCP Client Configuration

The Docker image can be used in stdio transport mode with the following configuration.

{
  "mcpServers": {
    "couchbase-mcp-docker": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "CB_CONNECTION_STRING=<couchbase_connection_string>",
        "-e",
        "CB_USERNAME=<database_user>",
        "-e",
        "CB_PASSWORD=<database_password>",
        "mcp/couchbase"
      ]
    }
  }
}

Notes

• The couchbase_connection_string value depends on whether the Couchbase server is running on the same host machine, in another Docker container, or on a remote host. If your Couchbase server is running on your host machine, your connection string would likely be of the form couchbase://host.docker.internal. For details refer to the docker documentation.
• You can specify the container's networking using the --network=<your_network> option. The network you choose depends on your environment; the default is bridge. For details, refer to network drivers in docker.

Risks Associated with LLMs

• The use of large language models and similar technology involves risks, including the potential for inaccurate or harmful outputs.
• Couchbase does not review or evaluate the quality or accuracy of such outputs, and such outputs may not reflect Couchbase's views.
• You are solely responsible for determining whether to use large language models and related technology, and for complying with any license terms, terms of use, and your organization's policies governing your use of the same.

Managed MCP Server

The Couchbase MCP server can also be used as a managed server in your agentic applications via Smithery.ai.

Troubleshooting Tips

• Ensure the path to your MCP server repository is correct in the configuration if running from source.
• Verify that your Couchbase connection string, database username, password or the path to the certificates are correct.
• If using Couchbase Capella, ensure that the cluster is accessible from the machine where the MCP server is running.
• Check that the database user has proper permissions to access at least one bucket.
• Confirm that the uv package manager is properly installed and accessible. You may need to provide absolute path to uv/uvx in the command field in the configuration.
• Check the logs for any errors or warnings that may indicate issues with the MCP server. The location of the logs depend on your MCP client.
• If you are observing issues running your MCP server from source after updating your local MCP server repository, try running uv sync to update the dependencies.

Integration testing

We provide high-level MCP integration tests to verify that the server exposes the expected tools and that they can be invoked against a demo Couchbase cluster.

1. Export demo cluster credentials:
   • CB_CONNECTION_STRING
   • CB_USERNAME
   • CB_PASSWORD
   • Optional: CB_MCP_TEST_BUCKET (a bucket to probe during the tests)
2. Run the tests:

uv run pytest tests/ -v

👩‍💻 Contributing

We welcome contributions from the community! Whether you want to fix bugs, add features, or improve documentation, your help is appreciated.

If you need help, have found a bug, or want to contribute improvements, the best place to do that is right here — by opening a GitHub issue.

For Developers

If you're interested in contributing code or setting up a development environment:

📖 See CONTRIBUTING.md for comprehensive developer setup instructions, including:

• Development environment setup with uv
• Code linting and formatting with Ruff
• Pre-commit hooks installation
• Project structure overview
• Development workflow and practices

Quick Start for Contributors

# Clone and setup
git clone https://github.com/Couchbase-Ecosystem/mcp-server-couchbase.git
cd mcp-server-couchbase

# Install with development dependencies
uv sync --extra dev

# Install pre-commit hooks
uv run pre-commit install

# Run linting
./scripts/lint.sh

📢 Support Policy

We truly appreciate your interest in this project! This project is Couchbase community-maintained, which means it's not officially supported by our support team. However, our engineers are actively monitoring and maintaining this repo and will try to resolve issues on a best-effort basis.

Our support portal is unable to assist with requests related to this project, so we kindly ask that all inquiries stay within GitHub.

Your collaboration helps us all move forward together — thank you!