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Productive.io MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Task, Get Api Status, Get Org Settings, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Productive.io 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 Productive.io app connector for OpenAI Agents SDK 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 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="Productive.io Assistant",
            instructions=(
                "You help users interact with Productive.io. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
Productive.io
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* 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.

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

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 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 Productive.io tools available for OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to wire Productive.io 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 Productive.io

Why Use OpenAI Agents SDK with the Productive.io MCP Server

OpenAI Agents SDK provides unique advantages when paired with Productive.io 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

Productive.io + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Productive.io in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Productive.io 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.

Productive.io + OpenAI Agents SDK FAQ

Common questions about integrating Productive.io 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.