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How to Use the Close MCP in OpenAI Agents SDK

Build production sales agents with the OpenAI Agents SDK and give them direct, guarded access to your Close CRM data.

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OpenAI Agents SDK

Connect Close MCP to OpenAI Agents SDK

Create your Vinkius account to connect Close 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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Safely manage leads and opportunities

Let your agent query your sales pipeline. It can use `list_close_leads` to get a high-level view, then dig into specifics with `get_lead_details`. The agent can't go off the rails—OpenAI's built-in guardrails validate every action before it's executed against your Close account. This isn't just about reading data. You can build specialized agents that hand off work. One agent could monitor for new leads, then pass them to another agent that summarizes the opportunity using `get_opportunity_details` and `list_lead_statuses` to check its stage.

Track sales pipelines with full visibility

Your agent gets a complete picture of your sales funnel. It can call `list_close_pipelines` to understand the stages, then use `list_close_opportunities` to see what's in flight. You get a full trace of every action in your OpenAI dashboard. Because you have a clear audit trail, you can see exactly which tools your agent used and what data it got back from the Close MCP Server. This makes debugging complex agent interactions much simpler when you're trying to figure out why a specific sales decision was made.

Automate your CRM task list

Point your agent at your own to-do list. The `list_close_tasks` tool lets an agent pull the same tasks you see in your Close dashboard. From there, it can start working through them on your behalf. This is how you build an agent that does real work, not just answer questions. It can check its tasks, find the relevant lead with `get_lead_details`, and then use other tools to gather information or draft an email. It's a direct extension of your own workflow.

Setup guide

Set up Close 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. 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. 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 Close tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

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

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Close. 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.

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Common questions about Close MCP in OpenAI Agents SDK

You instantiate an `MCPServerStreamableHttp` object with the unique URL Vinkius provides. Pass that server object into the `Agent` constructor. The SDK handles tool discovery automatically.
Yes. The OpenAI Agents SDK allows you to create specialized agents and control which tools are passed to each one. You can create one agent that only lists leads and another that only manages tasks.
OpenAI's built-in guardrails will catch it. The framework validates agent actions before they are executed, so an attempt to call a tool with the wrong parameters will fail before it ever reaches the Close API.
No. After you connect the MCP Server, the OpenAI Agents SDK discovers all available tools automatically. You just tell the agent what you want to do in natural language.
Your agent's access to lead, opportunity, and task data is tightly controlled. All requests run through Vinkius's ephemeral, zero-trust sandbox. On top of that, the OpenAI SDK's guardrails provide another layer of validation before any action is taken.

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