Weaviate Mcp Server Weaviate
What is Weaviate Mcp Server Weaviate
weaviate_mcp-server-weaviate is a server designed to work with Weaviate, an open-source vector search engine. It acts as a middleware that facilitates communication between Weaviate and other applications.
Use cases
Use cases include building AI-powered applications that require fast and accurate search results, integrating with existing data systems, and developing solutions for natural language processing tasks.
How to use
To use weaviate_mcp-server-weaviate, ensure you have ‘uv’ installed, clone the repository, and configure the server settings in the appropriate configuration file. You will need to provide your Weaviate URL, API key, and other necessary parameters.
Key features
Key features include seamless integration with Weaviate, support for custom configurations, and the ability to handle requests through specified API keys and collection names.
Where to use
weaviate_mcp-server-weaviate can be used in various fields such as machine learning, data retrieval, and applications requiring efficient vector search capabilities.
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 Weaviate Mcp Server Weaviate
weaviate_mcp-server-weaviate is a server designed to work with Weaviate, an open-source vector search engine. It acts as a middleware that facilitates communication between Weaviate and other applications.
Use cases
Use cases include building AI-powered applications that require fast and accurate search results, integrating with existing data systems, and developing solutions for natural language processing tasks.
How to use
To use weaviate_mcp-server-weaviate, ensure you have ‘uv’ installed, clone the repository, and configure the server settings in the appropriate configuration file. You will need to provide your Weaviate URL, API key, and other necessary parameters.
Key features
Key features include seamless integration with Weaviate, support for custom configurations, and the ability to handle requests through specified API keys and collection names.
Where to use
weaviate_mcp-server-weaviate can be used in various fields such as machine learning, data retrieval, and applications requiring efficient vector search capabilities.
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
mcp-server-weaviate
MCP server for Weaviate
🏎️ Quickstart
Prerequisites
- Ensure you have
uvinstalled (see
the docs for
details) - Clone this repository
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration
{ "mcpServers": { "mcp-server-weaviate": { "command": "PYTHON_PATH", "args": [ "-m", "src.server", "--weaviate-url", "YOUR_WEAVIATE_URL", "--weaviate-api-key", "YOUR_WEAVIATE_API_KEY", "--search-collection-name", "YOUR_SEARCH_COLLECTION", "--store-collection-name", "YOUR_STORE_COLLECTION", "--openai-api-key", "YOUR_OPENAI_API_KEY" ], "env": { "PYTHONPATH": "PATH_TO_MCP_SERVER_WEAVIATE_DIRECTORY" } } } }
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.
