The Couchbase MCP Server allows large language models to communicate with Couchbase clusters, performing data retrieval, updates, deletions, and queries through a standardized protocol, enhancing automation and data management capabilities.
Added on:
Created by:
Apr 24 2025
The Couchbase MCP Server allows large language models to communicate with Couchbase clusters, performing data retrieval, updates, deletions, and queries through a standardized protocol, enhancing automation and data management capabilities.
Added on:
Created by:
Apr 24 2025
Couchbase Ecosystem
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What is Couchbase MCP Server?
This MCP Server serves as an implementation of the Model Context Protocol (MCP), facilitating direct interaction between large language models and Couchbase data clusters. It supports functions such as listing scopes and collections, retrieving, upserting, and deleting documents, and running SQL++ queries within a Couchbase environment. The server requires a Couchbase cluster, Python 3.10+, and a compatible MCP client like Claude Desktop or Cursor. Configuration involves setting connection details and access credentials, and it can be deployed locally, via Docker, or as a managed service. It provides a robust interface for natural language-driven data operations, making database management more accessible for developers and data analysts.
Who will use Couchbase MCP Server?
- Developers integrating LLMs with Couchbase
- Data analysts automating database operations
- Organizations seeking natural language data management
- Researchers developing AI-driven data interaction tools
How to use the Couchbase MCP Server?
- Step 1: Clone the MCP server repository from GitHub.
- Step 2: Install prerequisites, including Python 3.10+ and uv.
- Step 3: Configure the server with your Couchbase connection details and credentials.
- Step 4: Run the server locally or deploy via Docker.
- Step 5: Add the MCP server configuration to your MCP client (e.g., Claude Desktop, Cursor).
- Step 6: Connect to the server and use natural language commands to perform database operations.
Couchbase MCP Server's Core Features & Benefits
The Core Features
- List all scopes and collections in a bucket
- Get collection structure
- Retrieve documents by ID
- Upsert documents
- Delete documents
- Run SQL++ queries
The Benefits
- Enables natural language interaction with Couchbase
- Simplifies database management for non-technical users
- Supports automation of routine data operations
- Flexible deployment options including Docker and cloud
Couchbase MCP Server's Main Use Cases & Applications
- Automated data retrieval and updates in enterprise applications
- Research projects integrating AI with NoSQL databases
- Data analysis automation for large datasets
- Natural language query interfaces for Couchbase databases
FAQs of Couchbase MCP Server
Developer
- Couchbase-Ecosystem
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