How to Use the AccuLynx MCP in Mastra AI

Q: Can Mastra AI retry failed AccuLynx requests?

That is exactly what the workflow engine does. If a getjobdetails request times out, the framework applies exponential backoff and tries again automatically. You never write custom retry loops.

Build resilient roofing workflows with Mastra AI. Handle AccuLynx payments and leads with automatic retries and conditional logic.

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Connect AccuLynx MCP to Mastra AI

Create your Vinkius account to connect AccuLynx 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 AccuLynx with Mastra AI

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Build conditional MCP Server pipelines

Roofing operations rarely follow a straight line. You need workflows that react when things break. If a call to `get_job_details` fails due to a network blip, Mastra automatically retries with exponential backoff. Your agent checks the technical milestones first. If the job looks stalled, it branches the logic to notify a manager instead of moving forward.

Automate lead generation safely

Adding prospects to your pipeline shouldn't happen by accident. Mastra supports human-in-the-loop approvals right out of the box. You require explicit permission before `create_lead` pushes a new name into AccuLynx. Once approved, the agent pulls the current queue via `list_leads`. You get a clean, verified list of inquiries without writing custom validation logic.

Audit project financials

Complex projects demand strict financial tracking. Your workflow grabs a job ID and executes `list_payments` to check the balance. If the balance is zero, the agent halts the next workflow step. The MCP auto-detects the Vinkius transport layer, whether you use SSE or Streamable HTTP. The integration takes one command to deploy to your cloud provider.

Setup guide

Set up AccuLynx 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 AccuLynx 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: "acculynx-mcp-client",
  servers: {
    "acculynx-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent AccuLynx 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 AccuLynx. 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 AccuLynx MCP in Mastra AI

Install @mastra/mcp and instantiate a new MCPClient. Pass the Vinkius URL into the servers object. Spread mcpClient.listTools() directly into your Mastra agent configuration.

That is exactly what the workflow engine does. If a get_job_details request times out, the framework applies exponential backoff and tries again automatically. You never write custom retry loops.

You have that option. Turn on the requireToolApproval flag for the create_lead tool. The agent will pause and wait for a human to review the first and last name before hitting the API.

You pass the job ID into the workflow state. The agent reads that state and feeds it into the required parameters for the financial or milestone tools.

Every API call routes through a zero-trust architecture. Mastra passes your MCP Server endpoint token to Vinkius, which spins up an ephemeral environment just for that request. Your roofing lead lists are processed and immediately forgotten.

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