How to Use the Skylink MCP in OpenAI Agents SDK

Q: Can I use the OpenAI Agents SDK to filter leads by status?

Yep. You call listleadsbystatus and get back exactly the list of leads you need. This is perfect for your agent when it needs to focus only on 'Hot' prospects, ignoring everything else in Skylink.

Q: How can I verify connectivity using Skylink and OpenAI Agents SDK?

You just run checkskylinkstatus. This quick check confirms that your agent has a live connection to the MCP Server, so you know it's ready for deployment.

Q: What kind of data does Skylink touch when using OpenAI Agents SDK?

This server handles Lead data. The createlead and updatelead tools manage the lifecycle, making sure every piece of lead information is accounted for.

Q: Does the MCP Server support retrieving call details with OpenAI Agents SDK?

Absolutely. Use getcall to pull specific call details or run listcalls to get a history report. It gives your agent all the necessary context for follow-up actions.

Automate complex sales processes using your OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Skylink MCP to OpenAI Agents SDK

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Manage the entire client lifecycle with MCP Server

The `create_lead` tool lets you immediately capture a prospect's information, assigning them to the system for tracking. Once the initial data is logged, your agent can use `update_lead` to adjust their status or add new notes as they interact with Skylink. Your agent also tracks all activity history by calling `get_lead_timeline`. This gives you a full audit trail, helping specialized agents hand off context accurately when the lead moves from one team member's queue to another.

Monitor real-time sales performance on MCP Server

Need to know who's hitting their targets? Call `get_agent_performance` to pull metrics for every user. You can also list all deals using `list_deals`, giving your agent a quick overview of the entire pipeline. Use `update_deal` when an opportunity changes hands or needs pricing adjustments. This ensures that whether you're running simulations or deploying live code, the deal record is always current and accurate.

Track all interactions across contacts using MCP Server

Start by gathering basic information with `get_contact`. Later on, your agent can use `create_task` to assign follow-up work directly related to that contact. This keeps the record clean and actionable. If you need to see a complete history of interactions, simply run `list_activities`. It gathers everything—calls, emails, notes—so nothing falls through the cracks when building your deployment agent.

Setup guide

Set up Skylink 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 Skylink tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Skylink 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="Skylink Agent",
            instructions="You have access to Skylink tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Skylink. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Skylink now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Skylink MCP in OpenAI Agents SDK

Your agents auto-discover all 22 MCP tools in Skylink without you having to configure anything. The built-in guardrails validate every action, so your agent can't run a tool that violates defined business rules.

Yep. You call `list_leads_by_status` and get back exactly the list of leads you need. This is perfect for your agent when it needs to focus only on 'Hot' prospects, ignoring everything else in Skylink.

You just run `check_skylink_status`. This quick check confirms that your agent has a live connection to the MCP Server, so you know it's ready for deployment.

This server handles Lead data. The `create_lead` and `update_lead` tools manage the lifecycle, making sure every piece of lead information is accounted for.

Absolutely. Use `get_call` to pull specific call details or run `list_calls` to get a history report. It gives your agent all the necessary context for follow-up actions.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript