Weaviate MCP Server
Search and manage vector data on Weaviate — the AI-native database for building production-grade AI applications.
Vinkius AI Gateway supports streamable HTTP and SSE.
Works with every AI agent you already use
…and any MCP-compatible client
Weaviate MCP Server: see your AI Agent in action
Built-in capabilities (7)
get_class_schema
Retrieves the schema definition for a specific class (collection)
get_cluster_nodes
Retrieves operational information about the Weaviate cluster nodes
get_full_schema
Retrieves the complete Weaviate schema (all collections)
get_instance_metadata
Retrieves metadata about the Weaviate instance
get_object_details
Retrieves a specific data object by its UUID
list_objects
Supports basic pagination via limit. Lists data objects within a specific class
search_near_vector
Provide a class name and a query vector as a JSON array of floats. Performs a nearest neighbor vector similarity search
What this connector unlocks
Connect your Weaviate instance to any AI agent and harness the power of vector search and semantic data management through natural conversation.
What you can do
- Semantic Search — Perform nearest neighbor vector similarity searches to find relevant content based on context and meaning
- Schema Management — Retrieve the complete instance schema or specific class definitions to understand your data structure
- Object Discovery — Browse and list data objects within any class, including full property values and vector data
- Deep Data Audit — Retrieve specific data objects by their UUID to inspect metadata and internal configurations
- Cluster Monitoring — Monitor operational health, node status, and resource usage of your Weaviate cluster nodes
- Instance Metadata — View server version, enabled modules, and high-level configuration details directly from your agent
How it works
1. Subscribe to this server
2. Enter your Weaviate Base URL and API Key
3. Start querying your vector data collections through Claude, Cursor, or any MCP-compatible client
No more manual JSON querying in complex database consoles. Your AI agent becomes your vector database administrator.
Who is this for?
- AI Developers — test and refine semantic search queries and verify vector data ingestion
- Data Engineers — audit database schemas, monitor cluster health, and browse indexed objects
- Research Teams — quickly surface relevant documents and data points from massive vector collections through chat
- SRE & DevOps — monitor the operational status of Weaviate nodes and manage instance configurations
Frequently asked questions
Give your AI agents the power of Weaviate
Access Weaviate and 2,000+ MCP servers — ready for your agents to use, right now. No glue code. No custom integrations. Just plug Vinkius AI Gateway and let your agents work.
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