How do I start managing my agency via AI?

Subscribe, enter your API credentials (your Personal Access Token from **Settings → API integrations**, and your Organization ID found in your URL), and you're ready. No code, no SDK, no webhooks — just connect and start asking your agent for budget burn rates.

Can my AI agent flag budgets that are running low?

Yes. Ask your agent to query all active budgets and run an analysis on hours tracked versus hours allocated. The agent reads the budget payloads securely and identifies any project that sits beyond 80% profitability burn rate before you even open a spreadsheet.

What happens when I need to verify timesheets for billing?

Just tell your AI agent to fetch recent time entries. It compiles exactly who logged what task across which services, helping you spot unassigned hours or missing descriptions instantly, saving the operations team hours of manual monthly audits.

Is this capable of helping me track sales metrics?

Absolutely. Ask your agent to list active deals and client companies. In a single prompt, you can see your entire sales pipeline, match deals to recent activities, and prepare for management syncs — perfectly suited for agency owners tracking rapid growth.

Productive MCP Server for AutoGen 12 tools — connect in under 2 minutes

Name: Productive
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 12 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Productive 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="productive_agent",
            tools=tools,
            system_message=(
                "You help users with Productive. "
                "12 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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 Productive MCP Server

Connect your Productive account to any AI agent and bring your agency management data directly into your conversation workflow.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Productive tools. Connect 12 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

Projects & Budgets — List all active projects, retrieve detailed project data, and dive deep into financial budgets to monitor burn rates
Time Tracking & Tasks — Audit logged time entries across your team and track task progress on any board instantly
Sales & CRM — List all open deals, review the sales pipeline, and access full company/client databases without switching tabs
Financials — Access all generated invoices and their payment statuses to keep cash flow in check
People & Activity — Track recent activities, team availability, and audit logs to see exactly what's moving in your agency

The Productive MCP Server exposes 12 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 Productive to AutoGen via MCP

Follow these steps to integrate the Productive 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 12 tools from Productive automatically

Why Use AutoGen with the Productive MCP Server

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

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

Role-based architecture lets you assign Productive 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 Productive tool calls

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

Productive + AutoGen Use Cases

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

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

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

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

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

Productive MCP Tools for AutoGen (12)

These 12 tools become available when you connect Productive to AutoGen via MCP:

get_project

Retrieves details for a single project by ID

list_activities

Lists recent activities and audit logs

list_boards

Lists all task boards

list_budgets

Lists all project budgets

list_companies

Lists all companies (clients and partners) in the CRM

list_deals

Lists all sales deals and their current stages

list_invoices

Lists all generated invoices and their payment status

list_people

Lists all people, including employees and external contacts

list_projects

Ideal for scoping agency workload. Lists all active and archived projects in Productive

list_services

Use this to check billable items. Lists all services defined in the organization

list_tasks

Lists all tasks across the organization

list_time_entries

Lists time entries logged by the team

Example Prompts for Productive in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Productive immediately.

"Analyze our active budgets and find any approaching their limit."

"Show me unpaid invoices from last month."

"What did the development team log time on today?"

Troubleshooting Productive MCP Server with AutoGen

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

McpWorkbench not found

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

Productive + AutoGen FAQ

Common questions about integrating Productive 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 Productive 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.