Bring Semantic Search
to Mastra AI
Create your Vinkius account to connect Weaviate to Mastra AI and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Weaviate MCP Server?
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
- Subscribe to this server
- Enter your Weaviate Base URL and API Key
- 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
Built-in capabilities (7)
Retrieves the schema definition for a specific class (collection)
Retrieves operational information about the Weaviate cluster nodes
Retrieves the complete Weaviate schema (all collections)
Retrieves metadata about the Weaviate instance
Retrieves a specific data object by its UUID
Supports basic pagination via limit. Lists data objects within a specific class
Provide a class name and a query vector as a JSON array of floats. Performs a nearest neighbor vector similarity search
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Weaviate tool infrastructure. Connect 7 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Weaviate without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Weaviate tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Weaviate in Mastra AI
Why run Weaviate with Vinkius?
The Weaviate connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Weaviate using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Weaviate and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Weaviate to Mastra AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Weaviate for Mastra AI
Every request between Mastra AI and Weaviate is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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