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:
- Install the MCP client SDK for your platform
- Connect to the Weaviate MCP server
- Authenticate with your Weaviate credentials
- 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-weaviatepip
pip install mcp-server-weaviateCompatible With
Claude Desktop
Cursor
Windsurf
Zed
Any MCP-compatible client