# Star Wars Planet Data (Couchbase)

> Use this tool when you need to perform semantic searches or find similar entities within specialized domains, such as analyzing Star Wars planet data. It solves problems related to information retrieval and similarity analysis by leveraging vector search functionality and efficient indexing. With inputs of planet details or vector embeddings, it outputs relevant information and similar planets, making it ideal for applications requiring advanced search capabilities in specific knowledge domains.

Canonical page: https://skillsregistry.net/skills/shivay-couchbase-vector-search-star-wars-planets  
JSON: https://api.skillsregistry.net/v1/skills/shivay-couchbase-vector-search-star-wars-planets

## Description

This MCP server, developed by Shivay at Couchbase, demonstrates semantic search capabilities for Star Wars planets using Couchbase's vector search functionality. Built with TypeScript, it implements two main tools: fetching planet details and finding similar planets based on vector embeddings. The server leverages Couchbase's efficient vector search index for fast similarity lookups and includes features like timeout protection and comprehensive error handling. By integrating the Model Context Protocol with Couchbase's vector search, this implementation enables AI models to access and analyze Star Wars planet data seamlessly. It is particularly useful for applications requiring semantic search in specialized domains, showcasing how vector databases can enhance AI-powered information retrieval and similarity analysis.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shivay-couchbase-vector-search-star-wars-planets)
- **Repository:** <https://github.com/shivaycb/couchbase-mcp>

## 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": "shivay-couchbase-vector-search-star-wars-planets"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shivay-couchbase-vector-search-star-wars-planets` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shivay-couchbase-vector-search-star-wars-planets/pull`

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