Weaviate MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Weaviate through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"weaviate": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Weaviate Agent",
instructions:
"You help users interact with Weaviate " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Weaviate?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Weaviate tool infrastructure. Connect 7 tools through the 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.
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
The Weaviate MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Weaviate to Mastra AI via MCP
Follow these steps to integrate the Weaviate MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Weaviate via MCP
Why Use Mastra AI with the Weaviate MCP Server
Mastra AI provides unique advantages when paired with Weaviate through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Weaviate without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Weaviate tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Weaviate + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Weaviate MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Weaviate, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Weaviate as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Weaviate on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Weaviate tools alongside other MCP servers
Weaviate MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Weaviate to Mastra AI via MCP:
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
Example Prompts for Weaviate in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Weaviate immediately.
"List all classes in my Weaviate schema."
"Search the 'Article' class for items similar to this vector: [0.12, -0.05, 0.88, ...]."
"What is the current health status of my Weaviate cluster nodes?"
Troubleshooting Weaviate MCP Server with Mastra AI
Common issues when connecting Weaviate to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpWeaviate + Mastra AI FAQ
Common questions about integrating Weaviate MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
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?
Does Mastra support workflow orchestration?
Connect Weaviate with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Weaviate to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.