JobNimbus MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect JobNimbus through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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: {
"jobnimbus": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "JobNimbus Agent",
instructions:
"You help users interact with JobNimbus " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with JobNimbus?"
);
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 JobNimbus MCP Server
Empower your AI agents with JobNimbus's specialized CRM for contractors. This MCP server allows you to list and retrieve contacts and jobs, manage tasks and workflows, track payments, and view organization users directly through the JobNimbus API. Ideal for automating field service operations and project management.
Mastra's agent abstraction provides a clean separation between LLM logic and JobNimbus tool infrastructure. Connect 10 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.
The JobNimbus MCP Server exposes 10 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.
How to Connect JobNimbus to Mastra AI via MCP
Follow these steps to integrate the JobNimbus MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from JobNimbus via MCP
Why Use Mastra AI with the JobNimbus MCP Server
Mastra AI provides unique advantages when paired with JobNimbus through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add JobNimbus 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 JobNimbus 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
JobNimbus + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the JobNimbus MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query JobNimbus, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed JobNimbus as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query JobNimbus on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using JobNimbus tools alongside other MCP servers
JobNimbus MCP Tools for Mastra AI (10)
These 10 tools become available when you connect JobNimbus to Mastra AI via MCP:
get_contact
Returns addresses, phone numbers, email, and custom fields. Use this for deep intelligence on a customer before an interaction. Retrieves details for a specific contact
get_job
Returns project descriptions, associated contact IDs, and current workflow status. Use this to analyze project specifics or provide an update on a job. Retrieves details for a specific job
list_boards
Useful for navigating the account structure. Lists all configured boards
list_contacts
Returns names, contact types, and IDs. Use this to identify clients or start a search for a specific customer. Lists all contacts in JobNimbus
list_jobs
Includes job titles, status, and IDs. Essential for monitoring project flow and upcoming work. Lists all jobs in JobNimbus
list_payments
Essential for monitoring revenue and project billing status. Lists all recent payments
list_products
Useful for auditing available services and pricing items. Lists all products and services
list_tasks
Returns task descriptions, due dates, and IDs. Use this to help the user manage their daily workload or audit team activities. Lists all tasks
list_users
Useful for identifying sales reps or project managers. Lists all users in the organization
list_workflows
Useful for understanding the steps in the company's business processes. Lists all configured workflows
Example Prompts for JobNimbus in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with JobNimbus immediately.
"List all active contacts in JobNimbus."
"Show me the latest jobs created."
"Check the status of my active tasks."
Troubleshooting JobNimbus MCP Server with Mastra AI
Common issues when connecting JobNimbus to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpJobNimbus + Mastra AI FAQ
Common questions about integrating JobNimbus 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.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect JobNimbus with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect JobNimbus to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.