Use Weaviate with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Search and manage vector data on Weaviate. the AI-native database for building production-grade AI applications.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 7 capabilities
The complete Weaviate capability set.
These are the exact actions your AI can choose when you ask it to work with Weaviate.
01-04
4 capabilities in this set.
Part of 7 available through Weaviate.
- 01
Get cluster nodes
Retrieves operational information about the Weaviate cluster nodes
- 02
Get full schema
Retrieves the complete Weaviate schema (all collections)
- 03
List objects
Supports basic pagination via limit. Lists data objects within a specific class
- 04
Get instance metadata
Retrieves metadata about the Weaviate instance
05-07
3 capabilities in this set.
Part of 7 available through Weaviate.
- 05
Get class schema
Retrieves the schema definition for a specific class (collection)
- 06
Get object details
Retrieves a specific data object by its UUID
- 07
Search near vector
Provide a class name and a query vector as a JSON array of floats. Performs a nearest neighbor vector similarity search
Observed, not estimated
760ms average. Fast in production.
Weaviate is checked daily against the live service.
- Fastest day
- 670ms
- Slowest day
- 955ms
- 14-day trend
- Stable-1%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Weaviate, so you can see the experience inside your AI.
It does not authenticate your account with Weaviate. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Weaviate Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_ewBpKaEj3GWOCB4HdPc1Tag8b8QBrbGJDpCpFWfW/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Weaviate capabilities are ready to use.
{
"mcpServers": {
"weaviate-mcp": {
"url": "https://edge.vinkius.com/vk_preview_ewBpKaEj3GWOCB4HdPc1Tag8b8QBrbGJDpCpFWfW/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Weaviate owners ask.
- 01
Can I perform a vector search using float arrays through the agent?
Yes. The search_near_vector capability allows you to perform semantic searches by providing a query vector as a JSON array of floats. Your AI agent will return the most similar objects from your Weaviate collection.
- 02
How do I see the data structure of my Weaviate collections?
You can use the get_full_schema capability to see all classes and properties defined in your instance, or get_class_schema if you want to focus on a specific collection's definition.
- 03
Is it possible to monitor cluster health via chat?
Absolutely. Use the get_cluster_nodes capability to retrieve operational data for all nodes in your Weaviate cluster, including their current status and resource utilization metrics.
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