Workast MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Space, Create Task, Delete Task, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Workast through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Workast app connector for OpenAI Agents SDK is a standout in the Industry Titans 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
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="Workast Assistant",
instructions=(
"You help users interact with Workast. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Workast"
)
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 Workast MCP Server
Connect your Workast account to any AI agent to streamline your project management and task automation. Workast provides a powerful platform for organizing team workflows, tracking deadlines, and managing project backlogs directly within your existing communication tools.
The OpenAI Agents SDK auto-discovers all 12 tools from Workast through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Workast, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Project & Space Orchestration — Organize your work using Spaces to group related task lists and projects for different teams.
- Task Lifecycle Management — Create, list, and update tasks with due dates, priorities, and detailed descriptions.
- Team Coordination — List and manage team members to assign responsibilities and monitor project progress programmatically.
- Metadata Synchronization — Access team-wide metadata and user profiles to keep your AI workflows aligned with your organization.
- Real-time Status Updates — Use natural language to get instant summaries of active spaces and task completion statuses.
The Workast 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 Workast tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Workast through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-tracking, workflow-automation, team-collaboration, 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 a new space
Create a new task
Delete a task
Get my profile
Get space details
Get task details
Get team details
Get user details
List all Workast spaces
List tasks in a space
List team users
Update a task
Connect Workast to OpenAI Agents SDK via MCP
Follow these steps to wire Workast into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Workast MCP Server
OpenAI Agents SDK provides unique advantages when paired with Workast 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
Workast + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Workast MCP Server delivers measurable value.
Automated workflows: build agents that query Workast, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Workast, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Workast tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Workast to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Workast in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Workast immediately.
"List all active spaces in my Workast account."
"Show me the tasks currently in the 'Design Team' space."
Troubleshooting Workast MCP Server with OpenAI Agents SDK
Common issues when connecting Workast to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Workast + OpenAI Agents SDK FAQ
Common questions about integrating Workast 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.