What are the prerequisites for using the Couchbase MCP Server for LLMs?
You need Node.js 16 or higher, a running Couchbase instance on Capella, and the Claude Desktop application.
@MCP-Mirror
基本情報
Mirror of
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": {
"Aniket310101_MCP-Server-Couchbase": {
"command": "npx",
"args": [
"-y",
"@couchbasedatabase/couchbase-mcp"
]
}
}
}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。
It is a Model Context Protocol (MCP) server that enables LLMs to interact directly with Couchbase databases on Capella clusters. Users can query buckets, perform CRUD operations, execute N1QL queries, and manage data seamlessly through natural language.
Install the server via NPX (npx -y @couchbasedatabase/couchbase-mcp) or clone and build manually. Configure it in the Claude Desktop config file with environment variables for the Couchbase connection string, bucket, username, and password. After restarting Claude Desktop, the server’s tools become available in conversations.
collection and scope parametersYou need Node.js 16 or higher, a running Couchbase instance on Capella, and the Claude Desktop application.
The recommended method is via NPX: run `npx -y @couchbasedatabase/couchbase-mcp`. Alternatively, you can clone the GitHub repository and build manually.
Add an entry to your Claude Desktop config file with the server command and environment variables for `COUCHBASE_URL`, `COUCHBASE_BUCKET`, `COUCHBASE_USERNAME`, and `COUCHBASE_PASSWORD`.
The server supports N1QL queries, bucket listing, scope and collection management, single and bulk CRUD operations on documents, and index management (create primary, create, list, drop).
Always use environment variables for sensitive credentials. For production deployments, consider running behind a reverse proxy and implementing appropriate access controls and authentication.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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