Development & Coding2026-07-191 min read
Weaviate MCP Server: Semantic Search Setup
Exposing Weaviate's vector and hybrid search as MCP tools for retrieval-augmented agents.
Weaviate configsSchema design sharing
Weaviate's built-in hybrid search — combining vector similarity with keyword filtering — makes it a strong fit for MCP retrieval tools that need more precision than pure semantic search.
Core Tools
hybrid_search(class_name, query, alpha)— alpha tunes vector vs keyword weightget_object(class_name, uuid)add_object(class_name, properties, vector)
Schema Design
Define your Weaviate class schema before wiring up tools — the model's search quality depends heavily on which properties are indexed for keyword search versus vectorized only.
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