How to Use the Onpipeline MCP in OpenAI Agents SDK

Q: How do I install the Onpipeline MCP Server for OpenAI Agents SDK?

Run pip install openai-agents. Initialize MCPServerStreamableHttp with your endpoint token and pass it to the mcpservers array in your Agent constructor.

Q: Can the OpenAI Agents SDK auto-discover Onpipeline tools?

Yes. The SDK automatically registers tools like listcrmorganizations and listactivities without manual mapping. Set cacheToolsList=True to speed up the initialization.

Connect the Onpipeline MCP Server to your OpenAI Agents SDK system to build revenue-tracking agents with strict execution guardrails.

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Connect Onpipeline MCP to OpenAI Agents SDK

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

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Automate Deal Creation via OpenAI Agents SDK

Your production agent needs to log new leads without manual oversight. Using `create_crm_contact` and `create_crm_organization`, the agent parses incoming emails and immediately writes the record to Onpipeline. You then chain `create_crm_deal` to drop that lead into the active sales funnel. Because you are using OpenAI's built-in guardrails, you can require human approval before the agent commits high-value pipeline changes.

Audit Pipeline Health

Sales managers need accurate revenue forecasts. You can deploy a specialized auditor agent that pulls the entire board using `list_pipelines` and `list_crm_deals`. The agent checks for stale deals by cross-referencing `list_activities` and `list_crm_events`. If an account executive hasn't logged a touchpoint in two weeks, the agent flags the deal in your tracing dashboard.

Retrieve Granular CRM Context

Generic agents fail when they lack specific customer history. This MCP Server lets your system pull exact relationship data on demand. Before generating a follow-up draft, the agent calls `get_deal_details` and `get_contact_details`. It knows exactly what was discussed last, making the automated outreach read like a human wrote it.

Setup guide

Set up Onpipeline 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 Onpipeline tools at runtime.
3

Create your Agent

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

Run the agent

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

Run `pip install openai-agents`. Initialize `MCPServerStreamableHttp` with your endpoint token and pass it to the `mcp_servers` array in your Agent constructor.

Yes. The SDK automatically registers tools like `list_crm_organizations` and `list_activities` without manual mapping. Set `cacheToolsList=True` to speed up the initialization.

The server only exposes creation and read tools. Operations like `create_crm_deal` are available, but there are no delete tools in the specification, making destructive actions impossible by default.

You can build a routing agent that delegates work. One agent handles data entry via `create_crm_contact`, while a separate forecasting agent runs `list_crm_deals` to build reports.

Vinkius runs this integration inside a V8 Isolate Sandbox. When your agent pulls revenue forecasts via `get_deal_details`, the memory is wiped immediately after the HTTP response completes. Zero data persists on our infrastructure.

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