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Onpipeline MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Create Crm Contact, Create Crm Deal, Create Crm Organization, and more

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Onpipeline through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Onpipeline app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Onpipeline Assistant",
            instructions=(
                "You help users interact with Onpipeline. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Onpipeline"
        )
        print(result.final_output)

asyncio.run(main())
Onpipeline
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Onpipeline MCP Server

Connect your Onpipeline account to any AI agent and take full control of your sales orchestration and pipeline management through natural conversation. Onpipeline is a powerful and intuitive CRM designed for high-velocity sales teams, and this integration allows you to retrieve deal metadata, update customer records, and monitor organization history directly from your chat interface.

The OpenAI Agents SDK auto-discovers all 11 tools from Onpipeline through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Onpipeline, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Deal & Opportunity Orchestration — List all managed deals and retrieve detailed status metadata programmatically to ensure your sales pipeline is always synchronized.
  • Contact & CRM Intelligence — Access and monitor your centralized database of persons and organizations directly from the AI interface to maintain high-fidelity customer profiles.
  • Pipeline Discovery — Search through your sales stages and retrieve deal history via natural language to drive better forecasting efficiency.
  • Lead Management Control — Create new deals, persons, and organization records using simple AI commands to reduce manual data entry.
  • Operational Monitoring — Track system responses and manage organization-wide activity to ensure your sales workflows are always optimized.

The Onpipeline MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Onpipeline tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Onpipeline through Vinkius, your AI agent gets direct access to every tool listed below — spanning onpipeline, sales-crm, pipeline-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_crm_contact

Create a new contact

create_crm_deal

Create a new deal

create_crm_organization

Create a new organization

get_contact_details

Get details for a specific contact

get_deal_details

Get details for a specific deal

list_activities

List all CRM activities

list_crm_contacts

List CRM contacts (persons)

list_crm_deals

List all sales deals

list_crm_events

List calendar events

list_crm_organizations

List CRM organizations (companies)

list_pipelines

List all sales pipelines

Connect Onpipeline to OpenAI Agents SDK via MCP

Follow these steps to wire Onpipeline into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 11 tools from Onpipeline

Why Use OpenAI Agents SDK with the Onpipeline MCP Server

OpenAI Agents SDK provides unique advantages when paired with Onpipeline through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Onpipeline + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Onpipeline MCP Server delivers measurable value.

01

Automated workflows: build agents that query Onpipeline, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Onpipeline, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Onpipeline tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Onpipeline to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Onpipeline in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Onpipeline immediately.

01

"List all my current deals in Onpipeline."

02

"Show me all sales pipelines and their current stage breakdown."

03

"Get the full details and activity history for deal ID d_4521."

Troubleshooting Onpipeline MCP Server with OpenAI Agents SDK

Common issues when connecting Onpipeline to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Onpipeline + OpenAI Agents SDK FAQ

Common questions about integrating Onpipeline MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.