FieldAware MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect FieldAware 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="FieldAware Assistant",
instructions=(
"You help users interact with FieldAware. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from FieldAware"
)
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 FieldAware MCP Server
FieldAware is a comprehensive field service management platform. This MCP server allows your AI agent to interact with your FieldAware account flawlessly.
The OpenAI Agents SDK auto-discovers all 12 tools from FieldAware through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries FieldAware, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Job Orchestration — List all active jobs and fetch detailed metadata for specific work orders natively.
- Customer Intelligence — Access customer profiles and contact details to personalize service interactions flawlessly.
- Invoice Management — Retrieve and inspect invoices to stay updated on billing and payments synchronously.
- Asset Tracking — List managed assets and equipment to ensure your field team has the right context natively.
- Quote & Item Access — Query active quotes and your product/service catalog flawlessly through the agent.
- Identity Verification — Verify the authorized user and permissions for the current API key flawlessly.
The FieldAware MCP Server exposes 12 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 FieldAware to OpenAI Agents SDK via MCP
Follow these steps to integrate the FieldAware 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 12 tools from FieldAware
Why Use OpenAI Agents SDK with the FieldAware MCP Server
OpenAI Agents SDK provides unique advantages when paired with FieldAware 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
FieldAware + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the FieldAware MCP Server delivers measurable value.
Automated workflows: build agents that query FieldAware, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries FieldAware, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through FieldAware tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query FieldAware to resolve tickets, look up records, and update statuses without human intervention
FieldAware MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect FieldAware to OpenAI Agents SDK via MCP:
create_job
Create a new job
get_customer
Get details for a specific customer
get_invoice
Get details for a specific invoice
get_job
Get details for a specific job
get_whoami
Identify the user associated with the current API key
list_assets
List all assets
list_contacts
List all contacts
list_customers
List all customers
list_invoices
List all invoices
list_items
List all items (products/services)
list_jobs
List all jobs
list_quotes
List all quotes
Example Prompts for FieldAware in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with FieldAware immediately.
"List all my active jobs in FieldAware."
"Show me the contact info for customer ID 12345."
"Check if there are any unpaid invoices."
Troubleshooting FieldAware MCP Server with OpenAI Agents SDK
Common issues when connecting FieldAware to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
FieldAware + OpenAI Agents SDK FAQ
Common questions about integrating FieldAware 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 FieldAware 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 FieldAware to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.