Can the AI automatically log time for a specific project?

Yes! Use the `create_timesheet` tool. You'll need to provide the ProjectID, PersonID, and the duration to instantly log work hours in your Avaza account.

How do I update the status of a task through the AI?

Simply ask the agent to run the `update_task` tool with the TaskID. You can modify the title, description, or status to reflect the current progress of your work.

Does this integration allow for auditing recent customer invoices?

Yes. The `list_invoices` tool provides a clear overview of recent billing, helping you track payment statuses and financial health across your projects.

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

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

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

asyncio.run(main())

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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 Avaza MCP Server

Connect your Avaza account to any AI agent and manage your entire professional services lifecycle through natural conversation.

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

What you can do

Project & Task Operations — Create, update, and list projects and tasks to keep your team aligned and on schedule
Smart Time Tracking — Log and audit timesheet entries for accurate resource management and billing
CRM & Financial Insights — Access company contacts and retrieve recent invoices for full visibility into project financials
Resource Coordination — Programmatically manage your professional services workflows and team allocations

The Avaza 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 Avaza to OpenAI Agents SDK via MCP

Follow these steps to integrate the Avaza 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 Avaza

Why Use OpenAI Agents SDK with the Avaza MCP Server

OpenAI Agents SDK provides unique advantages when paired with Avaza 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

Avaza + OpenAI Agents SDK Use Cases

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

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

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

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

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

Avaza MCP Tools for OpenAI Agents SDK (11)

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

create_project

Create a new project

create_task

Create a new task in a project

create_timesheet

Create a new timesheet entry

get_account_check

Verify Avaza account connection

get_project

Get details for a specific project

list_contacts

List company contacts and users

list_invoices

List recent invoices

list_projects

List all Avaza projects

list_tasks

List all Avaza tasks

list_timesheets

List timesheet entries

update_task

Update an existing task

Example Prompts for Avaza in OpenAI Agents SDK

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

"List all active projects in Avaza."

"Create a new task 'Prepare Financial Audit' in project ID 12345."

"Log 2 hours of work for today on project 'Website Redesign'."

Troubleshooting Avaza MCP Server with OpenAI Agents SDK

Common issues when connecting Avaza 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.

Avaza + OpenAI Agents SDK FAQ

Common questions about integrating Avaza 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.