Bring Task Tracking
to OpenAI Agents SDK
Learn how to connect ProjectManager to OpenAI Agents SDK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your ProjectManager API Key from your account settings
- Start managing your projects from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (11)
Create a new project
Add a new task
Get details for a specific project
Get details for a specific task
List all dashboards
List ProjectManager projects
List all project tags
Optionally filter by project ID. List tasks
List team resources
List recorded timesheets
Update an existing task
Why OpenAI Agents SDK?
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.
- —
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 in OpenAI Agents SDK
ProjectManager and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ProjectManager 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 | 4,000+ 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 ProjectManager in OpenAI Agents SDK
The ProjectManager 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 11 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
ProjectManager for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the ProjectManager MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I list all my active projects using my AI agent?
Yes! Use the list_projects tool to retrieve a comprehensive list of all projects registered in your account.
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.
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