Avaza MCP Server for Mastra AI 11 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Avaza through 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: {
"avaza": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Avaza Agent",
instructions:
"You help users interact with Avaza " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Avaza?"
);
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 Avaza MCP Server
Connect your Avaza account to any AI agent and manage your entire professional services lifecycle through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Avaza tool infrastructure. Connect 11 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
- Project & Task Operations — Create, update, and list projects and tasks to keep your team aligned and on schedule
- Smart Time Tracking — Log and audit timesheet entries for accurate resource management and billing
- CRM & Financial Insights — Access company contacts and retrieve recent invoices for full visibility into project financials
- Resource Coordination — Programmatically manage your professional services workflows and team allocations
The Avaza MCP Server exposes 11 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 Avaza to Mastra AI via MCP
Follow these steps to integrate the Avaza 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 11 tools from Avaza via MCP
Why Use Mastra AI with the Avaza MCP Server
Mastra AI provides unique advantages when paired with Avaza through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Avaza 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 Avaza 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
Avaza + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Avaza MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Avaza, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Avaza as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Avaza on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Avaza tools alongside other MCP servers
Avaza MCP Tools for Mastra AI (11)
These 11 tools become available when you connect Avaza to Mastra AI via MCP:
create_project
Create a new project
create_task
Create a new task in a project
create_timesheet
Create a new timesheet entry
get_account_check
Verify Avaza account connection
get_project
Get details for a specific project
list_contacts
List company contacts and users
list_invoices
List recent invoices
list_projects
List all Avaza projects
list_tasks
List all Avaza tasks
list_timesheets
List timesheet entries
update_task
Update an existing task
Example Prompts for Avaza in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Avaza immediately.
"List all active projects in Avaza."
"Create a new task 'Prepare Financial Audit' in project ID 12345."
"Log 2 hours of work for today on project 'Website Redesign'."
Troubleshooting Avaza MCP Server with Mastra AI
Common issues when connecting Avaza to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAvaza + Mastra AI FAQ
Common questions about integrating Avaza 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 Avaza 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 Avaza to Mastra AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
