The MCP Server for Weaviate facilitates integration with Weaviate using a customizable Python-based server, enabling interaction with Weaviate databases and OpenAI APIs via configurable URL and API keys.
The URL of your Weaviate instance
The name of your search collection in Weaviate
Path to the MCP server Weaviate directory
The name of your store collection in Weaviate
Your API key for accessing the Weaviate instance
Your API key for accessing OpenAI services
Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
Discover shared experiences
Shared threads will appear here, showcasing real-world applications and insights from the community. Check back soon for updates!
A TypeScript-based server to interact with ArangoDB using the Model Context Protocol, enabling datab...
A TypeScript-based MCP server that generates images using OpenAI's dall-e-3 model based on text prom...
A Model Context Protocol server that enables generation of high-quality images using the Flux.1 Schn...
A Model Context Protocol server that provides image generation capabilities using Google's Gemini 2 ...
A TypeScript-based MCP server that implements a simple notes system, allowing users to create, acces...