Weaviate MCP Server

Betadatabase

★210 starsPythonweaviate

About

Overview

The Weaviate MCP Server enables AI agents to interact with Weaviate vector databases. It supports creating collections with vectorizer configurations, adding objects with automatic vectorization, performing semantic and hybrid searches, and managing schemas. Ideal for AI-native applications requiring intelligent data retrieval.

Capabilities

Tools & Capabilities

⚡search

Perform semantic or hybrid search across collections

⚡add_object

Add an object to a collection

⚡list_collections

List all collections in the Weaviate instance

⚡create_collection

Create a new collection with specified schema

⚡get_object

Retrieve an object by its ID

Setup

Installation

bash

Install

pip install mcp-server-weaviate

Examples

Example Usage

javascript

Usage

{
  "mcpServers": {
    "weaviate": {
      "command": "python",
      "args": ["-m", "mcp_server_weaviate"],
      "env": {
        "WEAVIATE_URL": "http://localhost:8080"
      }
    }
  }
}

Quick Info

Authorweaviate

LanguagePython

StatusBeta

Stars★ 210

Last UpdatedFeb 12, 2026