Modify a Weaviate destination connector by updating its cluster URL or collection using the specified destination ID. Returns updated connector details for integration.
Remove a Weaviate destination connector by specifying its ID using the Unstructured API MCP Server. Simplifies management of data integration workflows.
Modify configuration settings for data destination connectors like AstraDB, Databricks, MongoDB, Neo4j, Pinecone, S3, or Weaviate to adjust storage parameters and batch processing.
Ask the Weaviate MCP server about its mood and receive a cheerful response with a heart. Use simple phrases like 'How are you?' or 'What's your mood?' for instant positive feedback.
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.
A server that enables Claude AI to interact with Weaviate vector databases, supporting both search and storage operations through Anthropic's MCP protocol.
A simple MCP server that facilitates website fetching through a configurable server platform using stdio or SSE transport, allowing integration with tools like Cursor for streamlined access.