Bring Gantt Charts
to OpenAI Agents SDK
Learn how to connect TeamGantt to OpenAI Agents SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your TeamGantt API Token (found in your account settings under API)
3. Start managing your timelines from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Project Managers — quickly check task progress and update project timelines via simple AI commands.
- Operations Teams — coordinate resource assignments and verify dependencies directly from the workspace.
- Engineering Leads — monitor milestones and update task completion percentages via the AI assistant.
Built-in capabilities (12)
Add task to project
Get user info
Get project info
List sub-tasks
Get task details
g. Task A must finish before Task B starts). Create Gantt link
List users and labels
List major goals
List tasks in project
List TeamGantt projects
Delete task
). Update task status/dates
Why OpenAI Agents SDK?
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.
- —
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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
TeamGantt in OpenAI Agents SDK
TeamGantt and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect TeamGantt to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for TeamGantt in OpenAI Agents SDK
The TeamGantt 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
TeamGantt for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the TeamGantt MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see all the tasks in a project via AI?
Yes! Use the list_project_tasks tool and provide the Project ID. Your agent will retrieve all tasks, milestones, and groups for that specific Gantt chart.
How do I update the progress of a task using the agent?
Use the update_task_fields action. Provide the Task ID and the percentComplete value (0-100) to update the task's status instantly.
Is it possible to link two tasks with a dependency via AI?
Absolutely. Use the link_tasks_dependency tool. Provide the ID of the predecessor and the successor tasks to create a Gantt link between them.
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.
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.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
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.