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Weaviate MCP Server: Semantic Search Setup
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
MCP Server for Vector Database: Complete GuidePinecone MCP Server: Vector Search IntegrationChromaDB MCP Server: Open Source Vector Search

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 weight
  • get_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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