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Ayanza MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Ayanza 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: {
      "ayanza": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Ayanza Agent",
    instructions:
      "You help users interact with Ayanza " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Ayanza
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 Ayanza MCP Server

Orchestrate your team's rhythm with Ayanza, the AI-first project management platform designed for modern velocity. By connecting Ayanza to your AI agent, you transform project oversight from a manual chore into a natural conversation. Your agent gains the power to navigate complex task workflows, access team wikis, and manage project milestones without you ever opening a dashboard. It’s not just about tracking tasks; it’s about giving your agent the context it needs to act as a digital coordinator within your workspace.

Mastra's agent abstraction provides a clean separation between LLM logic and Ayanza tool infrastructure. Connect 10 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

  • Task Orchestration — List, create, update, and delete tasks in Ayanza using natural language through your AI agent.
  • Project Oversight — Get a comprehensive view of all projects or dive into specific project details to monitor progress effortlessly.
  • Knowledge Retrieval — Access and list wiki pages to quickly find team documentation and shared knowledge.
  • Workspace Management — View workspace users to understand team structure and assign tasks effectively.
  • Dynamic Updates — Modify task descriptions and statuses in real-time to keep your team aligned and productive.

The Ayanza MCP Server exposes 10 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 Ayanza to Mastra AI via MCP

Follow these steps to integrate the Ayanza 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 10 tools from Ayanza via MCP

Why Use Mastra AI with the Ayanza MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Ayanza 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 Ayanza 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

Ayanza + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Ayanza 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 Ayanza on a cron and store results in your database automatically

04

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

Ayanza MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Ayanza to Mastra AI via MCP:

01

create_task

Create a new task in Ayanza

02

delete_task

Delete an Ayanza task

03

get_me

Get current authenticated user info

04

get_project

Get details for a specific Ayanza project

05

get_task

Get details for a specific Ayanza task

06

list_projects

List projects in Ayanza

07

list_tasks

List tasks in Ayanza

08

list_users

List users in the Ayanza workspace

09

list_wiki_pages

List wiki pages in Ayanza

10

update_task

Update an existing Ayanza task

Example Prompts for Ayanza in Mastra AI

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

01

"List all my tasks in Ayanza."

02

"Create a new task called 'Prepare Q4 presentation'."

03

"Show my wiki pages in Ayanza."

Troubleshooting Ayanza MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Ayanza + Mastra AI FAQ

Common questions about integrating Ayanza 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 Ayanza to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.