Couchbase
Enables AI models to perform semantic searches for Star Wars planets using Couchbase's vector search.
About
This project implements a Model Context Protocol (MCP) server, allowing AI models to interact with a Couchbase database to fetch detailed information about Star Wars planets and find similar planets based on vector embeddings. It utilizes Couchbase's vector search capabilities for efficient similarity lookups, providing a standardized way for AI models to access and utilize structured data within a Couchbase database.
Key Features
- Implements timeouts for both search and document fetching operations.
- Comprehensive error handling and debugging support.
- Full TypeScript implementation with proper type definitions.
- Manages Couchbase connections with cleanup.
- 1 GitHub stars
- Utilizes Couchbase's vector search index for fast similarity lookups.
Use Cases
- Enabling AI models to access and understand data stored in Couchbase.
- Implementing semantic search capabilities within AI applications.
- Building AI-powered tools that require context from structured data.
Sponsored