JobNimbus MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect JobNimbus through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="JobNimbus Assistant",
instructions=(
"You help users interact with JobNimbus. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from JobNimbus"
)
print(result.final_output)
asyncio.run(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.
The OpenAI Agents SDK auto-discovers all 10 tools from JobNimbus through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries JobNimbus, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The JobNimbus MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the JobNimbus MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from JobNimbus
Why Use OpenAI Agents SDK with the JobNimbus MCP Server
OpenAI Agents SDK provides unique advantages when paired with JobNimbus through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
JobNimbus + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the JobNimbus MCP Server delivers measurable value.
Automated workflows: build agents that query JobNimbus, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries JobNimbus, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through JobNimbus tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query JobNimbus to resolve tickets, look up records, and update statuses without human intervention
JobNimbus MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect JobNimbus to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting JobNimbus to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
JobNimbus + OpenAI Agents SDK FAQ
Common questions about integrating JobNimbus MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.