How do I obtain my Fieldly API credentials?

First, contact support@fieldly.com to enable the Public API. Once activated, you can find your Client ID and Client Secret in the **Integration Settings** of your Fieldly Admin panel.

How long is the access token valid?

Fieldly access tokens are valid for one hour. The agent handles token renewal automatically so you don't have to worry about manual updates.

Can I create new construction tasks via chat?

Yes! The `create_work_item` tool allows you to programmatically generate new construction tasks and work items directly within your AI-powered workflow flawlessy.

Fieldly MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes

Name: Fieldly
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Fieldly through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="Fieldly Assistant",
            instructions=(
                "You help users interact with Fieldly. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Fieldly"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 Fieldly MCP Server

Fieldly is a specialized project management platform for the construction industry. This MCP server allows your AI agent to interact with your Fieldly account flawlessly.

The OpenAI Agents SDK auto-discovers all 11 tools from Fieldly through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Fieldly, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

Key Features

Work Item Orchestration — List all construction tasks and work items, and fetch detailed metadata natively.
Booking Intelligence — Retrieve and inspect scheduling bookings to stay updated on team allocation flawlessly.
Invoice Management — Access billing data and individual invoices to track project financials flawlessly.
Article Access — Query your catalog of articles, materials, and service items natively.
Customer CRM — Access customer profiles and contact details to manage business relationships flawlessly.
Identity Verification — Verify the authorized application and user profile through the agent flawlessly.

The Fieldly MCP Server exposes 11 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 Fieldly to OpenAI Agents SDK via MCP

Follow these steps to integrate the Fieldly 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 11 tools from Fieldly

Why Use OpenAI Agents SDK with the Fieldly MCP Server

OpenAI Agents SDK provides unique advantages when paired with Fieldly 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

Fieldly + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Fieldly MCP Server delivers measurable value.

Automated workflows: build agents that query Fieldly, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Fieldly, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Fieldly tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Fieldly to resolve tickets, look up records, and update statuses without human intervention

Fieldly MCP Tools for OpenAI Agents SDK (11)

These 11 tools become available when you connect Fieldly to OpenAI Agents SDK via MCP:

create_work_item

Create a new work item

get_booking

Get details for a specific booking

get_invoice

Get details for a specific invoice

get_me

Get details for the authorized application/user

get_work_item

Get details for a specific work item

list_articles

List all inventory and service articles

list_bookings

List all scheduling bookings

list_customers

List all customers

list_invoices

List all invoices

list_users

List all users in the system

list_work_items

List all work items (jobs/tasks)

Example Prompts for Fieldly in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Fieldly immediately.

"List all active work items in Fieldly."

"Show me the team bookings for tomorrow."

"Check for any unpaid construction invoices."

Troubleshooting Fieldly MCP Server with OpenAI Agents SDK

Common issues when connecting Fieldly to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Fieldly + OpenAI Agents SDK FAQ

Common questions about integrating Fieldly MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.