How to Use the Infinity MCP in OpenAI Agents SDK

Q: How do I connect Infinity to my OpenAI Agents SDK pipeline?

Install openai-agents, then instantiate MCPServerStreamableHttp using your Vinkius endpoint. This connects the MCP server directly to your agent.

Q: Can I trace Infinity tool calls made by the OpenAI Agents SDK?

Yes, every call to tools like listboarditems or createboarditem shows up in your OpenAI developer dashboard. You can monitor input payloads, execution times, and trace agent decisions in real time.

Q: What happens when an agent tries to delete an item?

The agent invokes removeboarditem with the target item ID. You should set up SDK-level guardrails to require human approval before the agent executes this deletion tool on your board.

Build production-grade OpenAI Agents SDK systems that safely manipulate Infinity boards with zero config and full dashboard tracing.

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Connect Infinity MCP to OpenAI Agents SDK

Create your Vinkius account to connect Infinity 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 Infinity with OpenAI Agents SDK

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Auto-discover Infinity workspaces via OpenAI Agents SDK

Your agents use `list_workspaces` and `list_workspace_boards` right out of the box without you writing custom API wrappers. The OpenAI Agents SDK automatically maps these tools so your agent knows exactly where your project data lives. This MCP server handles the heavy lifting, so the agent reads your workspace layout, finds the correct board, and starts organizing items instantly.

Safe MCP Server item updates with built-in guardrails

Stop worrying about your agent corrupting project data when running `create_board_item` or `update_board_item`. The OpenAI Agents SDK applies strict runtime validation rules before any write operation hits your Infinity board. If an agent tries to write an invalid attribute ID, the SDK catches the error before execution. You get clean project boards and zero broken fields.

Multi-agent handoffs for sorting Infinity comments

Let one agent pull active discussions using `list_item_comments` while another agent updates the status. The OpenAI Agents SDK passes context between specialized agents to handle complex project triage. A triage agent can read comment sentiment and hand off to a board editor. That second agent runs `update_board_item` to change priorities based on real feedback.

Setup guide

Set up Infinity 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 Infinity tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Infinity 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="Infinity Agent",
            instructions="You have access to Infinity 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 Infinity MCP in OpenAI Agents SDK

Install `openai-agents`, then instantiate `MCPServerStreamableHttp` using your Vinkius endpoint. This connects the MCP server directly to your agent.

Yes, every call to tools like `list_board_items` or `create_board_item` shows up in your OpenAI developer dashboard. You can monitor input payloads, execution times, and trace agent decisions in real time.

Vinkius manages the authentication layer, providing a single secure endpoint token. This MCP setup needs only this token to execute any tool, including `get_current_user_profile` or board modifications.

The agent invokes `remove_board_item` with the target item ID. You should set up SDK-level guardrails to require human approval before the agent executes this deletion tool on your board.

Vinkius runs this MCP toolset in isolated V8 sandboxes. Your project tasks and workspace metadata are processed in ephemeral execution environments, meaning your board items and API tokens are never cached or stored on disk.

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