How to Use the JobProgress (Leap) MCP in Mastra AI

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Connect JobProgress (Leap) MCP to Mastra AI

Create your Vinkius account to connect JobProgress (Leap) 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 JobProgress (Leap) with Mastra AI

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Perplexity

Conditional automation with Mastra AI

Construct complex logic paths that act on real project data. When your agent runs `list_jobs`, you can trigger specific workflows if a project status changes to incomplete. This gives your Mastra AI agents the ability to make decisions based on actual field status. If `get_job` returns a specific flag, your agent can automatically notify the right person using the contact list.

Automatic retries for field operations

Manage your service pipeline with built-in fault tolerance. If an agent fails to reach the API, the Mastra AI framework handles the retry logic automatically. Using `list_tasks` and `list_appointments` inside your agents ensures that your operations continue even if the network blips. Your agents stay focused on the business logic rather than managing connection states.

Human-in-the-loop task approval

Require manual confirmation before your agents perform critical actions. You can set the agent to stop after a `list_proposals` call, waiting for a human to review the findings. This keeps control in your hands while letting the agent do the heavy lifting. Once approved, the agent proceeds to the next step in your custom workflow engine.

Setup guide

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

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

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

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Common questions about JobProgress (Leap) MCP in Mastra AI

Mastra AI treats these tools as native agent capabilities. You simply import the client and define the tools in your agent configuration.

Absolutely. You can chain these tools together to build complex sequences that check customer history and then update project statuses.

Yes, you can configure Mastra AI to pause the execution and request your input before it proceeds with any sensitive tasks.

Store your API token in your environment variables. The client reads this securely to authenticate every request made to the server.

We enforce strict isolation for every session. Your task data and customer records never touch persistent storage, ensuring total operational privacy.

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