How to Use the Anaplan MCP in OpenAI Agents SDK

Q: How does OpenAI Agents SDK handle large Anaplan exports?

The agent uses listfiles to locate the generated export files on the server. From there, it triggers runexport to initiate the data transfer, managing the file pointers directly.

Run Anaplan imports and models directly from your OpenAI Agents SDK pipelines using this MCP Server.

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Connect Anaplan MCP to OpenAI Agents SDK

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

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Trigger Anaplan processes via OpenAI Agents SDK

The `run_process` tool executes complex Anaplan multi-step actions directly from your Python agent scripts. You point the OpenAI Agents SDK at your workspace and let your model run the sequence without writing custom API wrapper logic. Your agent checks the execution state using `get_task_status` to ensure steps finish before proceeding. This prevents race conditions in your data pipelines by giving the LLM direct visibility into the running job.

Map workspaces and models automatically

The `list_workspaces` tool queries your active Anaplan environments to find the exact target for your data operations. Instead of hardcoding IDs into your OpenAI Agents SDK setup, your agent discovers them dynamically at runtime. Once the workspace is found, the agent uses `list_models` to locate the correct financial or operational model. This dynamic discovery keeps your agent functioning even when workspace structures change.

Control imports and exports with this MCP Server

The `list_imports` and `list_exports` tools expose your configured data actions directly to the OpenAI Agents SDK. Your agent reads these configurations to prepare data transfers without human intervention. To move data, the agent triggers `run_import` or `run_export` based on current pipeline needs. You get immediate execution feedback, allowing the agent to handle data logistics autonomously.

Setup guide

Set up Anaplan 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 Anaplan tools at runtime.
3

Create your Agent

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

Run the agent

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

You register the MCP server during the SDK initialization step. The OpenAI Agents SDK automatically queries the server to register tools like `list_models` and `run_process` without manual coding.

Yes, your agent can chain tools together. It starts a job using `run_process` and then loops with `get_task_status` to track progress before starting the next step.

The agent uses `list_files` to locate the generated export files on the server. From there, it triggers `run_export` to initiate the data transfer, managing the file pointers directly.

No, the server handles all schema translation. The OpenAI Agents SDK reads the tool definitions directly from the Vinkius endpoint, so your agent knows the exact parameters for every Anaplan action.

Your workspace and model data remains inside Anaplan and the Vinkius sandbox. The server only transmits execution metadata and file references, keeping your actual financial numbers isolated from the LLM context unless you explicitly request an export.

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