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Productive.io MCP Server for AutoGenGive AutoGen instant access to 12 tools to Create Task, Get Api Status, Get Org Settings, and more

Built by Vinkius GDPR 12 Tools Framework

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

Ask AI about this App Connector for AutoGen

The Productive.io app connector for AutoGen is a standout in the Industry Titans 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 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="productiveio_agent",
            tools=tools,
            system_message=(
                "You help users with Productive.io. "
                "12 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Productive.io
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.io MCP Server

Connect your Productive.io account to any AI agent and take full control of your agency orchestration and project profitability through natural conversation. Productive is the premier platform for professional services automation, and this integration allows you to retrieve project metadata, monitor task statuses, and analyze financial budgets directly from your chat interface.

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

  • Project & Workflow Orchestration — List all managed projects and retrieve detailed metadata programmatically to ensure your team's delivery is always synchronized.
  • Task & Resource Lifecycle Management — Access and monitor project tasks and retrieve detailed status metadata including assignees and deadlines directly from the AI interface.
  • Financial & Budget Intelligence — Access project budgets and monitor sales deals via natural language to maintain a clear overview of organizational profitability.
  • CRM & Client Control — List companies and search through your client database to stay informed about partner relationships using simple AI commands.
  • Operational Monitoring — Track time logs, retrieve financial invoices, and manage organization metadata to ensure your agency is always optimized.

The Productive.io 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.

All 12 Productive.io tools available for AutoGen

When AutoGen connects to Productive.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning agency-management, time-tracking, resource-planning, 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.

create_task

Add new task

get_api_status

Check connection

get_org_settings

Get organization info

get_project_details

Get project info

list_agency_invoices

List financial invoices

list_agency_people

List team members

list_agency_projects

List all projects

list_client_companies

List organizations

list_project_budgets

List active budgets

list_project_tasks

List tasks

list_sales_deals

List open deals

list_time_entries

List work logs

Connect Productive.io to AutoGen via MCP

Follow these steps to wire Productive.io into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration
04

Explore tools

The workbench discovers 12 tools from Productive.io automatically

Why Use AutoGen with the Productive.io MCP Server

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

01

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

02

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

03

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

04

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

Productive.io + AutoGen Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Productive.io in AutoGen

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

01

"List all active projects in Productive.io."

02

"Show me the profitability analysis for all active projects with budget vs actual comparison."

03

"Log 6 hours of design work on the Brand Strategy project for today."

Troubleshooting Productive.io MCP Server with AutoGen

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

01

McpWorkbench not found

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

Productive.io + AutoGen FAQ

Common questions about integrating Productive.io MCP Server with AutoGen.

01

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.io tools during their conversation turns.
02

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.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.