Star Wars Planet Data (Couchbase)
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/shivaycb/couchbase-mcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Star Wars Planet Data (Couchbase) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.