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Vinkius

Verba MCP Server for Mastra AI 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Verba through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "verba": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Verba Agent",
    instructions:
      "You help users interact with Verba " +
      "using 6 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Verba?"
  );
  console.log(result.text);
}

main();
Verba
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Verba MCP Server

Intertwine the open-source Verba (by Weaviate) ecosystem natively into your conversational AI IDE. Execute powerful Retrieval-Augmented Generation processes and manage your localized knowledge bases simply by chatting.

Mastra's agent abstraction provides a clean separation between LLM logic and Verba tool infrastructure. Connect 6 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.

What you can do

  • Augmented Queries — Cast a question to your agent and have it retrieve fully synthesized answers from the Verba engine completely backed up by exact document citations.
  • Knowledge Management — Insert new context text, list all ingested documents, retrieve the deeply embedded raw data of any ID, or remove dead knowledge dynamically without Web UIs.
  • Health Checks — Request system configurations directly via chat to ensure your local LLM connections, embedding models, and cluster health are firing effectively.

The Verba MCP Server exposes 6 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 Verba to Mastra AI via MCP

Follow these steps to integrate the Verba MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 6 tools from Verba via MCP

Why Use Mastra AI with the Verba MCP Server

Mastra AI provides unique advantages when paired with Verba through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Verba without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Verba tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Verba + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Verba MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Verba, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Verba as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Verba on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Verba tools alongside other MCP servers

Verba MCP Tools for Mastra AI (6)

These 6 tools become available when you connect Verba to Mastra AI via MCP:

01

add_knowledge_document

Provide the document content and optional metadata JSON. Ingests a new document into the Verba knowledge base

02

delete_knowledge_document

This action is irreversible. Permanently removes a document from the knowledge base

03

get_document_details

Retrieves the full content and metadata of a specific document

04

get_system_config

Retrieves the current Verba system configuration

05

list_knowledge_documents

Lists all documents indexed in the Verba knowledge base

06

perform_rag_query

Returns summarized answers with citations. Executes a RAG (Retrieval Augmented Generation) query against the Verba knowledge base

Example Prompts for Verba in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Verba immediately.

01

"Check Verba's configuration to see which embedding model it is currently using."

02

"Perform a RAG query asking: 'What are our key deployment steps based on the infrastructure guide?'"

03

"List all documents and output the unique ID of the 'Employee Code of Conduct' file."

Troubleshooting Verba MCP Server with Mastra AI

Common issues when connecting Verba to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Verba + Mastra AI FAQ

Common questions about integrating Verba MCP Server with Mastra AI.

01

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.
02

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.
03

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.

Connect Verba to Mastra AI

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.