How to Use the Skalin MCP in OpenAI Agents SDK

Q: Can I update success tasks using OpenAI Agents SDK?

Absolutely. The updatecstask tool lets your agent modify existing success plans on Skalin. This is crucial for keeping client objectives current without needing a human to log into the platform.

Q: What happens if I need account usage metrics with OpenAI Agents SDK?

You just run getaccountmetrics. The tool pulls structured data on how much the client is using Skalin. This gives your agent quantifiable information to report back to the user.

Q: Is data privacy handled when using Skalin and OpenAI Agents SDK?

Yes. When the agent calls loginteraction, it only logs the required metadata (time, type, summary). The specific content of conversations remains protected within your system.

Building Production Agents for Skalin with OpenAI Agents SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Skalin MCP to OpenAI Agents SDK

Create your Vinkius account to connect Skalin to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Skalin with OpenAI Agents SDK

Ask AI about this MCP

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Claude

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Gemini

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Manage Core Account Data via the MCP Server

Need to set up a new client? The `create_cs_account` tool handles that. Your agent calls this function, and Skalin provisions the account in one step. It's simple. You don't need manual steps for onboarding anymore; the AI executes it directly through the MCP Server.

Monitor Client Health with OpenAI Agents SDK

Check how a client is doing before they call you. Use `get_account_health` to pull current usage data and status flags for any Skalin account. This lets your agent proactively flag risks or opportunities, ensuring the handoff between specialized agents happens at the right time.

Track History and Interactions on the MCP Server

Did a key contact mention something last week? The `list_account_interactions` tool retrieves that history for you. It pulls records of every meeting, email, or support call associated with Skalin. Don't rely on memory. Your agent builds context by gathering all past activity using this MCP Server function.

Setup guide

Set up Skalin 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 Skalin tools at runtime.
3

Create your Agent

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

Run the agent

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

The SDK manages access via predefined tool calls. When you use `list_account_contacts`, the agent only sees the specific contact list required for the task, never a global dump of all Skalin user records.

Absolutely. The `update_cs_task` tool lets your agent modify existing success plans on Skalin. This is crucial for keeping client objectives current without needing a human to log into the platform.

You just run `get_account_metrics`. The tool pulls structured data on how much the client is using Skalin. This gives your agent quantifiable information to report back to the user.

Yes. When the agent calls `log_interaction`, it only logs the required metadata (time, type, summary). The specific content of conversations remains protected within your system.

The server supports a full suite of functions. You can list contacts (`list_account_contacts`), check alerts (`list_cs_alerts`), or even get general connectivity status with `get_api_status`.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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