Couchbase MCP Server

@Couchbase-Ecosystem

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基本信息

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许可证

Apache-2.0

传输方式

stdio

作者

Couchbase-Ecosystem

关于 Couchbase MCP Server

MCP Server to interact with data in Couchbase Clusters

#mcp #couchbase

Couchbase MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Couchbase MCP Server 工具

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点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Couchbase MCP Server?

Couchbase MCP Server is a self-hosted MCP server that allows AI agents to connect to and interact with data in Couchbase clusters, whether hosted on Capella or self-managed. It provides tools across categories including Cluster Health, Data Schema, Key-Value, Query, and Performance, with safety controls via read-only mode and fine-grained tool disabling.

How to use Couchbase MCP Server?

Install the server via PyPI (uvx couchbase-mcp-server) or Docker, or run from source. Configure it in an MCP client (e.g., Claude Desktop) by providing connection details (connection string, credentials or mTLS certificates) in the client’s mcpServers JSON. The server supports both STDIO and Streamable HTTP transports.

Key features of Couchbase MCP Server

Self-hosted; connects to Capella or self-managed Couchbase clusters
Tools: cluster health, schema discovery, KV operations, SQL++ queries
Performance analysis tools for query optimization
Read-only mode and per-tool disabling for safety control
Supports basic authentication and mTLS for secure connections
Distributed as PyPI package and Docker image

Use cases of Couchbase MCP Server

AI agents querying and managing documents in Couchbase buckets
Automated schema discovery for analytics or data cataloging
Performance monitoring and query optimization via SQL++ tools
Integrating Couchbase data into MCP-enabled LLM workflows

常见问题

What are the prerequisites to run the server?

Python 3.10+, a running Couchbase cluster (Capella free tier works), `uv` installed, and an MCP client like Claude Desktop.

How do I authenticate the server to a Couchbase cluster?

Either provide username/password (`CB_USERNAME`, `CB_PASSWORD`) or use mTLS client certificate and key (`CB_CLIENT_CERT_PATH`, `CB_CLIENT_KEY_PATH`). The connection string is always required.

What is read-only mode?

When the environment variable `CB_MCP_READ_ONLY_MODE` is set to `true`, all KV write tools are disabled and SQL++ queries that modify data are blocked. This is the default setting.

Can I disable specific tools?

Yes, you can fine‑tune which tools are available by disabling individual tools through server configuration.

How is the server distributed and supported?

It is available as a PyPI package and via Docker. Enterprise support is available through licensing Couchbase AI Data Plane.

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