Couchbase MCP Server

@Couchbase-Ecosystem

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基本情報

カテゴリ

その他

ライセンス

Apache-2.0

トランスポート

stdio

作者

Couchbase-Ecosystem

Couchbase MCP Server について

MCP Server to interact with data in Couchbase Clusters

#mcp #couchbase

Couchbase MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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 のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

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

よくある質問

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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