Weaviate

Official

Weaviate MCP server for vector database operations and semantic search

About Weaviate MCP Server

Weaviate is an MCP server in the Database & Vector Search category. It exposes tools, resources to connected AI applications, enabling them to interact with weaviate capabilities through the standardized Model Context Protocol.

Features

Tools
Resources

Category

Database & Vector Search
Getting Started

To use the Weaviate MCP server in your AI application, follow these steps:

  1. Install the MCP client SDK for your platform
  2. Connect to the Weaviate MCP server
  3. Authenticate with your Weaviate credentials
  4. Start using the tools, resources, and prompts provided by the server

Example Code


// Connect to the Weaviate MCP server
const server = await mcp.connect("weaviate");

// List available tools
const tools = await server.tools.list();

// List available resources
const resources = await server.resources.list();

// List available prompts
const prompts = await server.prompts.list();
                      
Installation

npm

npm install @mcp/server-weaviate

pip

pip install mcp-server-weaviate
Compatible With
Claude Desktop
Cursor
Windsurf
Zed
Any MCP-compatible client