Anaplan MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Anaplan through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Anaplan Assistant",
instructions=(
"You help users interact with Anaplan. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Anaplan"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Anaplan MCP Server
Connect your Anaplan account to your AI agent to automate financial planning, supply chain, and sales operations. This MCP server allows you to discover workspaces and models, and trigger complex data integration tasks using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from Anaplan through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Anaplan, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Workspace & Model Discovery — List all available workspaces and models to navigate your planning environment.
- Execute Data Actions — Trigger and monitor imports, exports, and processes (groups of actions) to move data in and out of Anaplan.
- Task Monitoring — Real-time tracking of asynchronous task statuses to ensure your data integrations complete successfully.
- File Management — List files within your models to keep track of historical imports and exports.
The Anaplan MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Anaplan to OpenAI Agents SDK via MCP
Follow these steps to integrate the Anaplan MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Anaplan
Why Use OpenAI Agents SDK with the Anaplan MCP Server
OpenAI Agents SDK provides unique advantages when paired with Anaplan through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Anaplan + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Anaplan MCP Server delivers measurable value.
Automated workflows: build agents that query Anaplan, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Anaplan, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Anaplan tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Anaplan to resolve tickets, look up records, and update statuses without human intervention
Anaplan MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Anaplan to OpenAI Agents SDK via MCP:
get_task_status
Get status of a running task
list_exports
List export actions for a model
list_files
List files in a model (exports/imports)
list_imports
List import actions for a model
list_models
List Anaplan models. Optionally filter by workspaceId
list_processes
List processes for a model
list_workspaces
List available Anaplan workspaces
run_export
Run an Anaplan export action
run_import
Run an Anaplan import action
run_process
Run an Anaplan process
Example Prompts for Anaplan in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Anaplan immediately.
"List all my Anaplan workspaces and models."
"Run the 'Monthly Actuals' import in the Finance workspace."
"What's the status of the process task 'p_456'?"
Troubleshooting Anaplan MCP Server with OpenAI Agents SDK
Common issues when connecting Anaplan to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Anaplan + OpenAI Agents SDK FAQ
Common questions about integrating Anaplan MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Anaplan with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Anaplan to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
