Overview
mcp-server-weaviate Introduction
mcp-server-weaviate is a Model Context Protocol (MCP) server designed to interact with Weaviate, a vector search engine that allows for efficient data retrieval and management.
How to Use
To use mcp-server-weaviate, you need to build the server using 'make build' and run the test client with 'make run-client'. You can then insert objects into Weaviate or query them using hybrid search.
Key Features
Key features of mcp-server-weaviate include the ability to insert objects into Weaviate and retrieve them using hybrid search capabilities, facilitating efficient data management and retrieval.
Where to Use
mcp-server-weaviate can be used in various fields such as data science, machine learning, and any application requiring efficient vector-based search and data management.
Use Cases
Use cases for mcp-server-weaviate include building intelligent applications that require fast data retrieval, enhancing search functionalities in applications, and managing large datasets effectively.
Content
MarkItDown MCP
Github MCP
apisix
opik
sqlglot
