How to Use the AirMatch Pro MCP in Mastra AI

Run resilient recruitment workflows by connecting Mastra AI agents to your AirMatch Pro MCP Server.

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Connect AirMatch Pro MCP to Mastra AI

Create your Vinkius account to connect AirMatch Pro 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.

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Setup AirMatch Pro with Mastra AI

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Branching workflows for AirMatch Pro leads

The `list_leads` tool feeds candidate profiles directly into Mastra AI's conditional workflow engine to automate initial outreach decisions using MCP tools. If an AirMatch Pro lead meets specific hiring criteria, the Mastra agent automatically triggers the next step; otherwise, it archives the record. You can design Mastra AI workflows that check `get_lead` and branch based on experience levels. If an AirMatch Pro API call fails during this process, Mastra's built-in exponential backoff retries the step to ensure no candidate gets dropped.

Automated proposal generation with Mastra AI agents

The `create_proposal` tool allows your automated Mastra AI agents to draft client agreements the moment an AirMatch Pro job matching process completes. Mastra AI manages the multi-step sequence, pulling job data first and then compiling the contract details without manual intervention. By exposing `list_proposals` to your Mastra AI agent, the system checks for existing AirMatch Pro agreements before generating duplicates. This prevents messy overlapping files and keeps your sales documents organized.

Programmatic pipeline audits using this MCP Server

The `list_jobs` tool gives your Mastra AI agents a complete view of active hiring requisitions to match against new AirMatch Pro applicant pools. The Mastra agent can run scheduled cron jobs to compare open roles with incoming talent profiles. If a mismatch is found, the Mastra AI workflow queries `list_estimates` to adjust AirMatch Pro recruitment budgets. This lets you build self-correcting business logic that runs continuously in the background.

Setup guide

Set up AirMatch Pro MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. 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's tools object. All AirMatch Pro tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "airmatch-pro-mcp-client",
  servers: {
    "airmatch-pro-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "AirMatch Pro Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to AirMatch Pro tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent AirMatch Pro transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AirMatch Pro. 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.

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Common questions about AirMatch Pro MCP in Mastra AI

Yes, you can use Mastra AI's tool approval feature to pause the workflow when `create_proposal` is triggered. The agent waits for a manual thumbs-up before writing the AirMatch Pro contract.

Mastra AI uses automatic retries with exponential backoff on tools like `list_leads`. If the AirMatch Pro API returns a 429, the Mastra workflow pauses and tries again until it succeeds.

Yes, Mastra AI agents compile down to standard JS, making them fully compatible with edge runtimes. You just need to configure your Vinkius AirMatch Pro endpoint URL in your worker's environment variables.

Initialize the client using the Vinkius URL and spread the AirMatch Pro tools directly into your Mastra AI agent configuration. The framework handles the MCP transport mapping automatically.

Your AirMatch Pro jobs and estimate details are transmitted over encrypted SSE or HTTP channels directly to your self-hosted Mastra AI agent. Vinkius acts as a secure pass-through, never caching or inspecting your recruitment metrics.

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