Weaviate MCP, Ready to Go
Use the Weaviate MCP with Claude or Cursor to perform semantic vector searches and manage your database schema through a natural chat interface.
No credit card required. Experience the power of this integration risk-free.
Query vector database collections and manage semantic data.
Works with every AI agent you already use
…and any MCP-compatible client
How fast is the Weaviate Connector?
Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.
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What AI agents can do with Weaviate MCP: 7 Tools for Vector Database Management
Perform semantic searches, audit schemas, and monitor cluster health using your AI agent.
Get class schema
Get the specific schema definition for a single collection class. This helps you confirm what properties are available for your queries.
Get instance metadata
View high-level metadata about your current Weaviate instance. Use this to check your active modules and version details.
Get cluster nodes
Retrieve operational status and resource usage for your cluster nodes. It provides a quick health check for your infrastructure.
Get object details
Pull all metadata and properties for a specific object using its UUID. This is great for deep auditing of individual records.
Get full schema
Fetch the complete schema for every collection in your Weaviate instance. Use this to get a bird's-eye view of your entire data structure.
List objects
Browse and list data objects within a specific class. It includes basic pagination to help you explore your collections.
Search near vector
Perform a nearest neighbor similarity search using a provided class name and vector array. This is how you find contextually relevant data.
A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.
You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.
No Shadow AI
Every agent action is visible, approved, and auditable. Nothing runs outside your governance.
Absolute agent control
Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.
Cost control per token
Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.
Managed & monitored infra
We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.
Data protection, DLP by design
Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.
Token optimization, real savings
Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.
Weaviate MCP for Vector Database Schema Auditing
This is for the AI engineer who is tired of manual data auditing and the DevOps person who needs to keep an eye on cluster health without constant tab switching.
AI Developer
Testing vector search accuracy and verifying data ingestion during development.
Data Engineer
Auditing schemas and browsing indexed objects to ensure data integrity.
SRE / DevOps
Monitoring node health and managing instance configurations across the cluster.
Frequently Asked Questions
Can I use Weaviate MCP to find similar items in my database? +
Yes. You can ask your agent to find content similar to a specific concept or a provided vector. It uses the similarity search tool to pull the most relevant results for you.
How do I check my cluster health using the Weaviate MCP? +
Simply ask your agent for a health report. It will automatically check your cluster nodes and summarize the CPU, RAM, and status of your infrastructure.
Can the Weaviate MCP show me my full database schema? +
Yes, it can pull the entire schema for all your collections. This is helpful for getting a clear overview of your data structure in one go.
Is the Weaviate MCP good for auditing specific records? +
It's excellent for auditing. You can provide a UUID to your agent and it will pull every piece of metadata and property associated with that specific object.
Can I use the Weaviate MCP to see my current Weaviate version? +
Yes. You can ask for instance metadata, and the agent will report back the version, active modules, and high-level configuration details.
Does the Weaviate MCP support searching by vector embeddings? +
Yes, that is a core feature. You can provide a vector array to your agent, and it will perform a nearest neighbor search to find the best matches.
Can I perform a vector search using float arrays through the agent? +
Yes. The search_near_vector tool 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.
How do I see the data structure of my Weaviate collections? +
You can use the get_full_schema tool 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.
Is it possible to monitor cluster health via chat? +
Absolutely. Use the get_cluster_nodes tool to retrieve operational data for all nodes in your Weaviate cluster, including their current status and resource utilization metrics.
Your AI, connected to everything.
No credit card required · Free tier available
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