Enables hybrid keyword and semantic vector search on a Meilisearch index via an MCP server.
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This MCP server, written in Go, enhances Meilisearch's capabilities by providing hybrid search functionality. It combines traditional keyword-based search with semantic vector search, allowing for more relevant and nuanced results. Users can adjust the balance between keyword and semantic search using a ratio parameter, filter results based on specific attributes, and leverage pre-defined prompts for guidance on effective usage. The server communicates via standard input/output and is configured through environment variables for easy integration with Meilisearch instances.
Key Features
01Combines keyword and semantic vector search
02Configurable via environment variables
03Supports filtering based on attribute values
04Provides prompts for usage guidance
05Adjustable semantic ratio for balancing search types
065 GitHub stars
Use Cases
01Enhancing content discovery in knowledge bases
02Improving search relevance in e-commerce applications
03Providing more accurate search results in documentation platforms
