How to Use the crm4 solution MCP in OpenAI Agents SDK

Q: What's the best way to manage contact lists in crm4 solution using the OpenAI Agents SDK?

Have your agent first call listcontactlists to get all existing list IDs. Then, use the addcontacttolist tool with a specific contact ID and list ID. This ensures you're always adding contacts to valid, existing lists in crm4 solution.

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Connect crm4 solution MCP to OpenAI Agents SDK

Create your Vinkius account to connect crm4 solution 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 crm4 solution with OpenAI Agents SDK

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Manage CRM Contacts Without The Risk

This MCP Server gives your agent direct control over your crm4 solution contacts. It can create new leads with `create_contact`, modify existing ones using `update_contact`, and get details for a specific person with `get_contact`. It’s all done through standard tool calls. Here’s the key part for production: the OpenAI Agents SDK has guardrails. Before your agent actually runs `delete_contact`, you can require a human in the loop to sign off. This setup prevents an autonomous agent from accidentally wiping out your lead database. You get the automation without the anxiety.

Automate Lead and Campaign Sorting

Stop sorting leads by hand. Your agent can use the `list_contact_lists` and `list_campaigns` tools to understand your current marketing setup in crm4 solution. It gets a clear picture of every distribution list and call center campaign you have running. Then, you can build logic for your agent to automatically place new contacts into the right buckets. When a new lead comes in, the agent can check its properties and use `add_contact_to_list` to assign it to the 'New Leads - West Region' campaign or the 'Follow-up Call Q3' list. It's grunt work that you don't have to do anymore.

Connect Actions to Your OpenAI Agent

Your agent can do more than just manage data. With `send_sms` and `send_whatsapp`, it can take action and talk to your contacts directly from crm4 solution. The tools use the contact information stored in the CRM, so there's no need to copy-paste phone numbers. For example, an agent can monitor call activity with `list_calls`. After seeing a call was missed, it could automatically trigger `send_sms` to send a 'Sorry we missed you' text. The OpenAI Agents SDK makes connecting these tools simple, so your agent can react to events as they happen.

Setup guide

Set up crm4 solution 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 crm4 solution tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives crm4 solution tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate crm4 solution 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="crm4 solution Agent",
            instructions="You have access to crm4 solution 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 crm4 solution MCP in OpenAI Agents SDK

It's automatic. When you pass the crm4 solution MCP Server to the Agent constructor, the SDK fetches the tool manifest. Your agent immediately knows what operations are available and how to call them, with no manual mapping needed.

Yes. The OpenAI Agents SDK is built for this. You can implement a guardrail that intercepts any call to the `delete_contact` tool and requires explicit user confirmation before the action is executed on your crm4 solution data.

Have your agent first call `list_contact_lists` to get all existing list IDs. Then, use the `add_contact_to_list` tool with a specific contact ID and list ID. This ensures you're always adding contacts to valid, existing lists in crm4 solution.

No, it's straightforward. You just need the Vinkius endpoint URL for this MCP Server. You instantiate the `MCPServerStreamableHttp` class with that URL and pass it into the `mcp_servers` list when creating your agent. The tools are ready to use.

This server only interacts with your crm4 solution contact data, which includes names, phone numbers, and email addresses, along with campaign and call log information. Vinkius processes each request in an ephemeral sandbox with encrypted transport; your credentials and contact data are never logged or stored.

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