airfocus MCP Server for Mastra AIGive Mastra AI instant access to 6 tools to Create Airfocus Item, Get Airfocus Item, List Airfocus Fields, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect airfocus through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The airfocus app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"airfocus": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "airfocus Agent",
instructions:
"You help users interact with airfocus " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with airfocus?"
);
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 airfocus MCP Server
Connect your airfocus account to any AI agent and take full control of your product management and strategic roadmapping workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and airfocus 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
- Workspace & Roadmap Orchestration — List all strategic workspaces programmatically, retrieving detailed metadata and custom fields tailored for every product board
- Item Lifecycle Management — Programmatically create and update tasks, features, and initiatives, monitoring status transitions and high-fidelity descriptions in real-time
- Prioritization Intelligence — Retrieve and update prioritization scores and custom field data to coordinate your product strategy and team alignment perfectly
- Cross-functional Sync — Ensure your engineering context matches product roadmaps by querying specific item details directly through your agent
- Infrastructure Monitoring — Access high-fidelity metadata for your workspaces and manage field definitions to maintain a perfectly coordinated project environment
The airfocus 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.
All 6 airfocus tools available for Mastra AI
When Mastra AI connects to airfocus through Vinkius, your AI agent gets direct access to every tool listed below — spanning airfocus, product-management-api, roadmaps-orchestration, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create an item
Get item details
List custom fields
List workspace items
List all workspaces
Update an item
Connect airfocus to Mastra AI via MCP
Follow these steps to wire airfocus into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the airfocus MCP Server
Mastra AI provides unique advantages when paired with airfocus through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add airfocus 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 airfocus 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
airfocus + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the airfocus MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query airfocus, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed airfocus as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query airfocus on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using airfocus tools alongside other MCP servers
Example Prompts for airfocus in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with airfocus immediately.
"List all items in the 'Product Roadmap' workspace (ID: '123')."
"Create a new feature 'User Analytics' in workspace '123'."
"Show the custom fields for workspace '123'."
Troubleshooting airfocus MCP Server with Mastra AI
Common issues when connecting airfocus to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpairfocus + Mastra AI FAQ
Common questions about integrating airfocus 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.