Mcp Server Weaviate
What is Mcp Server Weaviate
mcp-server-weaviate is a Model Context Protocol (MCP) server designed specifically for Weaviate, facilitating the integration of AI models with Weaviate’s vector database.
Use cases
Use cases for mcp-server-weaviate include building AI-driven applications that require vector search capabilities, enhancing data retrieval processes, and integrating machine learning models with Weaviate’s database for improved performance.
How to use
To use mcp-server-weaviate, ensure you have ‘uv’ installed, clone the repository, and install it via Smithery using the command: ‘npx -y @smithery/cli install @weaviate/mcp-server-weaviate --client claude’. Configure the server by specifying your Weaviate URL, API key, and other necessary parameters in the configuration file.
Key features
Key features include seamless integration with Weaviate, support for Claude Desktop, customizable configuration settings, and the ability to connect to OpenAI APIs for enhanced functionality.
Where to use
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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Server Weaviate
mcp-server-weaviate is a Model Context Protocol (MCP) server designed specifically for Weaviate, facilitating the integration of AI models with Weaviate’s vector database.
Use cases
Use cases for mcp-server-weaviate include building AI-driven applications that require vector search capabilities, enhancing data retrieval processes, and integrating machine learning models with Weaviate’s database for improved performance.
How to use
To use mcp-server-weaviate, ensure you have ‘uv’ installed, clone the repository, and install it via Smithery using the command: ‘npx -y @smithery/cli install @weaviate/mcp-server-weaviate --client claude’. Configure the server by specifying your Weaviate URL, API key, and other necessary parameters in the configuration file.
Key features
Key features include seamless integration with Weaviate, support for Claude Desktop, customizable configuration settings, and the ability to connect to OpenAI APIs for enhanced functionality.
Where to use
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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Weaviate MCP Server
Instructions
Build the server:
make build
Run the test client
make run-client
Tools
Insert One
Insert an object into weaviate.
Request body:
{}Response body
{}Query
Retrieve objects from weaviate with hybrid search.
Request body:
{}Response body
{}Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
