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ArborNote MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Check Api Health, Create Arbornote Client, Get Arbornote Client, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The ArborNote app connector for OpenAI Agents SDK is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="ArborNote Assistant",
            instructions=(
                "You help users interact with ArborNote. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
ArborNote
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ArborNote MCP Server

Connect your ArborNote account to any AI agent and take full control of your tree care and landscaping business operations through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from ArborNote through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ArborNote, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Client Relationship Orchestration — List and manage your entire client directory programmatically, including creating new records and retrieving high-fidelity profile metadata
  • Proposal & Estimate Intelligence — Monitor the status of active proposals and retrieve detailed high-fidelity cost estimates to coordinate your sales pipeline in real-time
  • Work Order & Project Management — Programmatically track approved work orders and project milestones to oversee your field operations and team distribution efficiently
  • Financial Visibility Monitoring — Access invoice histories and retrieve high-fidelity financial metrics to maintain perfectly coordinated revenue operations
  • Operational Monitoring — Access organization-level metadata and verify active webhooks directly through your agent for instant operational reporting

The ArborNote 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.

All 12 ArborNote tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to ArborNote through Vinkius, your AI agent gets direct access to every tool listed below — spanning arboriculture, tree-inventory, field-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_health

Verify ArborNote API connectivity

create_arbornote_client

Create a new client

get_arbornote_client

Get specific client

get_arbornote_metrics

Get financial metrics

get_arbornote_project

Get specific project

get_arbornote_proposal

Get specific proposal

list_arbornote_clients

List all clients

list_arbornote_projects

List active projects

list_arbornote_proposals

List proposals

list_arbornote_schedules

List schedules

list_arbornote_webhooks

List active webhooks

update_arbornote_client

Update an existing client

Connect ArborNote to OpenAI Agents SDK via MCP

Follow these steps to wire ArborNote into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from ArborNote

Why Use OpenAI Agents SDK with the ArborNote MCP Server

OpenAI Agents SDK provides unique advantages when paired with ArborNote through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

ArborNote + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for ArborNote in OpenAI Agents SDK

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

01

"List all active proposals in my ArborNote account."

02

"Show the status of my current work orders."

03

"Create a new client 'John Doe' (john@example.com) and update his phone to '+15550123'."

Troubleshooting ArborNote MCP Server with OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

ArborNote + OpenAI Agents SDK FAQ

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

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.