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TeamGantt MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create New Task, Get Account Profile, Get Project Details, and more

Built by Vinkius GDPR 12 Tools SDK

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

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

asyncio.run(main())
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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 TeamGantt MCP Server

Connect your TeamGantt account to any AI agent and simplify how you manage your project timelines, task assignments, and team resources through natural conversation.

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

What you can do

  • Project Oversight — List all projects in your account and retrieve detailed metadata and configuration for specific Gantt charts.
  • Task Management — Create, update, and delete tasks with full control over start/end dates and completion percentages.
  • Timeline Coordination — Create dependencies between tasks to ensure your project logic remains sound and automated.
  • Resource Tracking — List available resources (people and equipment) to optimize team allocation across projects.
  • Milestone Planning — List and query major project goals (milestones) and sub-task checklists.
  • Account Visibility — Fetch your user profile and verify account configurations directly from the agent.

The TeamGantt 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 TeamGantt tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to TeamGantt through Vinkius, your AI agent gets direct access to every tool listed below — spanning gantt-charts, project-planning, task-management, 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_new_task

Add task to project

get_account_profile

Get user info

get_project_details

Get project info

get_task_checklist

List sub-tasks

get_task_info

Get task details

link_tasks_dependency

g. Task A must finish before Task B starts). Create Gantt link

list_available_resources

List users and labels

list_project_milestones

List major goals

list_project_tasks

List tasks in project

list_projects

List TeamGantt projects

remove_task

Delete task

update_task_fields

). Update task status/dates

Connect TeamGantt to OpenAI Agents SDK via MCP

Follow these steps to wire TeamGantt 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 TeamGantt

Why Use OpenAI Agents SDK with the TeamGantt MCP Server

OpenAI Agents SDK provides unique advantages when paired with TeamGantt 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

TeamGantt + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for TeamGantt in OpenAI Agents SDK

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

01

"List all active projects in my TeamGantt account."

02

"Show me the tasks for 'Website Launch Q4' (ID: 10293)."

03

"Mark task '88231' as 100% complete."

Troubleshooting TeamGantt MCP Server with OpenAI Agents SDK

Common issues when connecting TeamGantt 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.

TeamGantt + OpenAI Agents SDK FAQ

Common questions about integrating TeamGantt 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.