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 AutoGen 11 tools — connect in under 2 minutes

Name: Avaza
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 11 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Avaza as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="avaza_agent",
            tools=tools,
            system_message=(
                "You help users with Avaza. "
                "11 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Avaza tools. Connect 11 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Avaza MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 11 tools from Avaza automatically

Why Use AutoGen with the Avaza MCP Server

AutoGen provides unique advantages when paired with Avaza through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Avaza tools to solve complex tasks

Role-based architecture lets you assign Avaza tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Avaza tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Avaza tool responses in an isolated environment

Avaza + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Avaza MCP Server delivers measurable value.

Collaborative analysis: one agent queries Avaza while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Avaza, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Avaza data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Avaza responses in a sandboxed execution environment

Avaza MCP Tools for AutoGen (11)

These 11 tools become available when you connect Avaza to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting Avaza to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Avaza + AutoGen FAQ

Common questions about integrating Avaza MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Avaza tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.