How to Use the zipBoard MCP in OpenAI Agents SDK

Q: How can I find all my projects using zipBoard and OpenAI Agents SDK?

You call the listprojects tool. It sends back a list of every project ID currently managed by the zipBoard server. This is your starting point for any agent workflow.

Q: Can I create new tasks with zipBoard and OpenAI Agents SDK?

Absolutely. The createtask tool lets you generate a brand-new task or issue directly into a project. You pass the necessary details, and the agent handles the record creation immediately.

Q: Does the OpenAI Agents SDK support listing files from zipBoard?

Yes, you use the listfiles tool. It returns a list of file paths or URLs associated with any given project ID that your agent is working on.

Q: If I need to start an entire new initiative, how do I do it with zipBoard and OpenAI Agents SDK?

You use the createproject tool. It requires data as a JSON string, giving your agent enough detail on the fly to spin up an entirely new project structure.

Manage projects and bug tracking with OpenAI Agents SDK.

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Connect zipBoard MCP to OpenAI Agents SDK

Create your Vinkius account to connect zipBoard to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup zipBoard with OpenAI Agents SDK

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Build Project Management Tools

Use the `list_projects` tool to get a full roster of all zipBoard projects. This lets your agent know exactly what containers exist before it tries to operate on one. When you need to start fresh, just call `create_project`. It takes data as a JSON string, so your agent can handle complex initial configurations and immediately set up the scope for work.

Track Issues and Tasks

The `list_tasks` tool shows all current issues or tasks within a specific project. Your agent reads this list to understand the current workload. Need to file a bug? Use `create_task`. This function lets your agent generate new issue tickets directly into zipBoard, keeping all tracking centralized and visible.

Explore Project Content

The `list_files` tool gives you URLs for every file associated with a project. It’s how your agent maps out the entire repository structure. If you need deeper context on the organization itself, run `get_organization`. This provides key details about the overall account setup, which is useful for cross-project planning.

Setup guide

Set up zipBoard MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all zipBoard tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives zipBoard tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate zipBoard tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="zipBoard Agent",
            instructions="You have access to zipBoard tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about zipBoard MCP in OpenAI Agents SDK

You call the `list_projects` tool. It sends back a list of every project ID currently managed by the zipBoard server. This is your starting point for any agent workflow.

Absolutely. The `create_task` tool lets you generate a brand-new task or issue directly into a project. You pass the necessary details, and the agent handles the record creation immediately.

This MCP Server deals with structured metadata: projects, tasks/issues, file URLs, and organization records. Your AI client interacts solely with this defined project scope.

Yes, you use the `list_files` tool. It returns a list of file paths or URLs associated with any given project ID that your agent is working on.

You use the `create_project` tool. It requires data as a JSON string, giving your agent enough detail on the fly to spin up an entirely new project structure.

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