Productive MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Productive through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Assistant",
instructions=(
"You help users interact with Productive. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Productive"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 12 tools from Productive through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Productive, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 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 Productive to OpenAI Agents SDK via MCP
Follow these steps to integrate the Productive 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 12 tools from Productive
Why Use OpenAI Agents SDK with the Productive MCP Server
OpenAI Agents SDK provides unique advantages when paired with Productive 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
Productive + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Productive MCP Server delivers measurable value.
Automated workflows: build agents that query Productive, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Productive, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Productive tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Productive to resolve tickets, look up records, and update statuses without human intervention
Productive MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Productive to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Productive to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Productive + OpenAI Agents SDK FAQ
Common questions about integrating Productive MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Productive with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Productive to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.