How to Use the JobNimbus MCP in Mastra AI

Build resilient automated workflows for JobNimbus using the Mastra AI agent framework and built-in error handling.

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…and any MCP-compatible client

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Connect JobNimbus MCP to Mastra AI

Create your Vinkius account to connect JobNimbus 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 JobNimbus with Mastra AI

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Perplexity

Automated JobNimbus workflow branching

Create complex logic paths that respond to changing project statuses. Your agents use `list_workflows` to decide whether to trigger follow-up actions based on current business rules. If a step fails or requires a change, the engine handles the retry logic. You define the flow, and the agent executes the steps against your CRM data.

CRM data retrieval for Mastra AI agents

Pull specific project details using `get_job` and `list_tasks` to feed your multi-step agents. The framework automatically maps these tool outputs to your agent's reasoning process. This provides the context needed for accurate decision-making. Your agents work with the same information your team sees in the office.

Reliable task orchestration

Monitor your field operations by checking `list_users` and `list_boards` to see who is assigned to what. You can build agents that alert admins when tasks fall behind schedule. Every action is logged and tracked. This ensures your automated processes stay in sync with your actual work on the ground.

Setup guide

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

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

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

You define an agent and add the tools provided by the server. Then you build a workflow that calls these tools based on your specific requirements.

Yes. The framework has built-in support for retries and backoff. You can configure these settings to ensure your CRM updates go through reliably.

You can enable tool approval for your agents. This forces a human to confirm any action before the agent sends it to your account.

It does. You can list your boards and retrieve the status of any job assigned to them. This makes it easy to track progress across multiple departments.

The server uses a zero-trust architecture. It only exposes specific PII like emails or phone numbers when the agent explicitly requests them.

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