How to Use the Ideanote MCP in OpenAI Agents SDK

Q: Does Ideanote support multiple workspaces in OpenAI Agents SDK?

You can switch contexts by calling listworkspaces. The agent selects the correct ID for its tasks, ensuring your queries hit the right department every time.

Connect Ideanote to your OpenAI Agents SDK production pipeline for instant access to your innovation workspace data.

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Connect Ideanote MCP to OpenAI Agents SDK

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

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Automate idea tracking in OpenAI Agents SDK

Stop manual reporting and let your agents pull directly from your workspace. Use `list_ideas` and `list_missions` to feed your agent the latest data without opening a browser. Your agent checks the status of innovation pipelines by hitting `list_phases`. It processes the output within your defined guardrails before taking action.

Manage workspace access via MCP Server tools

Control who sees what by pulling user lists through `list_users`. Your agent validates permissions against current workspace settings before executing any requests. Everything stays within your secure environment. By calling `get_me`, the agent confirms its own access level against the `list_workspaces` data.

Audit webhook configurations automatically

Keep your event-driven architecture clean by querying `list_webhooks`. Your agent identifies active endpoints and flags any that might be misconfigured. This keeps your infrastructure stable. You get a clear log of every active connection without digging through the admin console.

Setup guide

Set up Ideanote 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 Ideanote tools at runtime.
3

Create your Agent

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

Run the agent

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

It uses the Model Context Protocol to bridge your workspace to the agent. You just point the client at the server and your tools appear as native functions.

Yes. The tools provide direct access to your lists, letting the agent process large volumes of ideas or missions in a single pass.

Your data remains local to your connection. The server only exposes what you explicitly allow through the protocol, keeping your innovation secrets private.

Use the built-in tracing features of your agent system. Every call made to the server is logged, showing exactly what data was sent and received.

You can switch contexts by calling `list_workspaces`. The agent selects the correct ID for its tasks, ensuring your queries hit the right department every time.

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