# Couchbase

> Use this tool when you need to interact with Couchbase databases, performing CRUD operations, querying, and administration tasks. It solves problems related to data management, indexing, security, and replication across Couchbase Server and Capella cloud environments. With Python 3.10+ compatibility, it provides a comprehensive interface for managing Couchbase databases, accepting inputs such as queries and commands, and outputting results and monitoring data.

Canonical page: https://skillsregistry.net/skills/celticht32-couchbase  
JSON: https://api.skillsregistry.net/v1/skills/celticht32-couchbase

## Description

A Python MCP server providing deep integration with Couchbase databases, exposing 164 tools organized across 16 handler modules. Covers CRUD operations, SQL++ querying, index management, user and security administration, cluster health monitoring, and cross-datacenter replication. Compatible with Couchbase Server 7.0+ and Capella cloud. Requires Python 3.10+.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/celticht32-couchbase)
- **Repository:** <https://github.com/celticht32/mcp-couchbase>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "celticht32-couchbase"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/celticht32-couchbase` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/celticht32-couchbase/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt