ProjectManager MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Create Project, Create Project Task, Get Project Details, and more

Name: ProjectManager
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ProjectManager 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 for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The ProjectManager MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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="ProjectManager Assistant",
            instructions=(
                "You help users interact with ProjectManager. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

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 ProjectManager MCP Server

Connect your ProjectManager.com account to any AI agent and simplify your project orchestration, task management, and resource allocation through natural conversation.

The OpenAI Agents SDK auto-discovers all 11 tools from ProjectManager through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ProjectManager, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Project Management — List all projects, retrieve detailed status metadata, and monitor project health and progress
Task Control — Query tasks for any project, retrieve detailed descriptions, and create new tasks programmatically
Resource Intelligence — List team resources, including members and equipment, to choose the right context for each task
Time Tracking — Access a history of recorded timesheets to stay on top of your project billing and capacity
Direct Control — Manage your entire project portfolio directly from your agent without manual dashboard navigation

The ProjectManager MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 ProjectManager tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to ProjectManager through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-tracking, resource-allocation, timesheets, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create project on ProjectManager

Create a new project

create

Create project task on ProjectManager

Add a new task

get

Get project details on ProjectManager

Get details for a specific project

get

Get task details on ProjectManager

Get details for a specific task

list

List dashboards on ProjectManager

List all dashboards

list

List projects on ProjectManager

List ProjectManager projects

list

List tags on ProjectManager

List all project tags

list

List tasks on ProjectManager

Optionally filter by project ID. List tasks

list

List team resources on ProjectManager

List team resources

list

List timesheets on ProjectManager

List recorded timesheets

update

Update task on ProjectManager

Update an existing task

Connect ProjectManager to OpenAI Agents SDK via MCP

Follow these steps to wire ProjectManager into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 11 tools from ProjectManager

Why Use OpenAI Agents SDK with the ProjectManager MCP Server

OpenAI Agents SDK provides unique advantages when paired with ProjectManager 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

ProjectManager + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for ProjectManager in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ProjectManager immediately.

"List all active projects in ProjectManager."

"Show me all overdue tasks across all projects with their assignees and original deadlines."

"Create 3 new tasks for the Website Redesign project assigned to the design team due next Friday."

Troubleshooting ProjectManager MCP Server with OpenAI Agents SDK

Common issues when connecting ProjectManager to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

ProjectManager + OpenAI Agents SDK FAQ

Common questions about integrating ProjectManager MCP Server with OpenAI Agents SDK.

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.