How to Use the Avaza MCP in Mastra AI
Connect Avaza to Mastra AI to build resilient, auto-retry project workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Avaza MCP to Mastra AI
Create your Vinkius account to connect Avaza to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate Avaza tasks in Mastra AI
Link `create_task` and `update_task` to your Mastra agent logic. When a project hits a snag, the agent executes the update automatically. This setup allows for conditional workflows where task status changes trigger downstream events. It keeps your project board synced with your actual team progress.
Manage Avaza contacts with Mastra AI
Use `list_contacts` to feed your agent the latest customer information. Your workflow engine then routes work based on these specific contact details. It removes manual lookups. The agent knows exactly who to assign work to based on the data pulled directly from your CRM.
Audit Avaza timesheets using Mastra AI
Run `list_timesheets` through your agent to flag anomalies or missing entries. The workflow engine can notify you if a project exceeds its estimated hours. This gives your team a clear view of burn rates. You catch budget issues before they become actual headaches.
Set up Avaza MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All Avaza tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "avaza-mcp-client",
servers: {
"avaza-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Avaza Agent",
model: openai("gpt-4o"),
instructions: "You have access to Avaza tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Avaza transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Avaza. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Avaza MCP in Mastra AI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Avaza MCP today
We host it, we monitor it, we maintain it. You just paste one token.