How to Use the Ellie Planner MCP in OpenAI Agents SDK

Run safe, production-grade agent workflows that update your Ellie Planner timelines directly using the OpenAI Agents SDK.

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Connect Ellie Planner MCP to OpenAI Agents SDK

Create your Vinkius account to connect Ellie Planner 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 Ellie Planner with OpenAI Agents SDK

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Visual Task Orchestration with OpenAI Agents SDK

The `create_task` tool lets your agent drop new milestones directly into your visual timeline. You don't have to write manual parsing logic because the SDK automatically discovers this tool and maps your prompts to concrete planner items. When tasks shift, the agent spins up `update_task` to adjust dates. This keeps your visual boards accurate in real-time without you ever leaving your Python execution environment.

Safe Execution Guardrails for Planning

The `delete_task` tool requires strict validation before your agent can permanently wipe a milestone from your board. By running this MCP Server through the OpenAI framework, you can set up explicit guardrails that intercept destructive actions before they execute. This setup means your agent can safely check progress with `list_tasks` and only execute modifications when they pass your runtime safety checks. You get autonomous planning without the risk of an agent clearing your entire backlog by mistake.

Multi-Agent Handoffs for Complex Backlogs

The `list_lists` tool serves as the starting point for specialized agents to scan your project boards and divide work. One agent can pull the active lists, while another uses `complete_task` to close out finished items. The SDK handles the handoff between these specialized agents. Your planning board stays clean because the agents pass the context back and forth, organizing labels with `list_labels` behind the scenes.

Setup guide

Set up Ellie Planner 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 Ellie Planner tools at runtime.
3

Create your Agent

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

Run the agent

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

Install openai-agents via pip and configure the MCPServerStreamableHttp client with your Vinkius endpoint. Pass this server instance into your Agent constructor using the mcp_servers argument. The SDK automatically discovers all eight planner tools.

Yes, you control tool access at the agent definition level. If you want an agent to only read your board, expose only `list_tasks` and `get_task` while omitting destructive tools.

The SDK manages connection streams efficiently, especially when you set cacheToolsList=True. This reduces handshake overhead during heavy loops of `update_task` or `create_task` calls.

No, you do not. This MCP Server broadcasts its JSON schema directly to the SDK, which handles the translation so your agent knows exactly how to format task titles and dates.

Your task names, lists, and labels remain securely hosted within Ellie Planner and the Vinkius sandbox. This MCP configuration only processes transit payloads required to execute tools like `get_task` or `update_task`, ensuring your roadmaps are never stored on external servers.

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