How do I find my Pipeliner Space ID and Service URL?

Log in to Pipeliner, go to **Admin Space** > **API**. There you can find your unique Space ID and the specific API Service URL for your instance.

Can I see opportunities across multiple pipelines?

Yes! Use the `list_pipeliner_opportunities` tool to retrieve a full list of deals. You can then ask the AI agent to filter or group them by pipeline name.

Does this support looking up individual user activities?

Absolutely. Use the `list_pipeliner_activities` tool to retrieve a log of all sales tasks, calls, and meetings recorded in your CRM space.

Pipeliner MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Pipeliner
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="Pipeliner Assistant",
            instructions=(
                "You help users interact with Pipeliner. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 Pipeliner MCP Server

Connect your Pipeliner CRM space to any AI agent and take full control of your sales ecosystem through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Pipeliner through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Pipeliner, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Lead & Opportunity Oversight — List and retrieve detailed metadata for leads and sales opportunities across your workspace.
Sales Pipeline Management — List available pipelines and track the progress of deals through different stages.
Workforce Visibility — List company accounts, business contacts, and team members to maintain a clear view of your stakeholders.
Activity & Task Tracking — Monitor sales activities and assigned tasks to ensure your team stays productive.
Detailed Entity Inspections — Get deep-dive details for any specific lead or opportunity to understand its full history.

The Pipeliner MCP Server exposes 10 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.

How to Connect Pipeliner to OpenAI Agents SDK via MCP

Follow these steps to integrate the Pipeliner MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 10 tools from Pipeliner

Why Use OpenAI Agents SDK with the Pipeliner MCP Server

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

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

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

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

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

Pipeliner + OpenAI Agents SDK Use Cases

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

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

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

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

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

Pipeliner MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Pipeliner to OpenAI Agents SDK via MCP:

get_pipeliner_lead

Get details for a specific lead

get_pipeliner_opportunity

Get details for a specific opportunity

list_pipeliner_accounts

List all company accounts

list_pipeliner_activities

List sales activities and tasks

list_pipeliner_contacts

List all business contacts

list_pipeliner_leads

List all sales leads

list_pipeliner_opportunities

List all sales opportunities

list_pipeliner_pipelines

List available sales pipelines

list_pipeliner_tasks

List all assigned tasks

list_pipeliner_users

List users in the Pipeliner space

Example Prompts for Pipeliner in OpenAI Agents SDK

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

"List all sales opportunities in the 'Enterprise' pipeline."

"Show me the last 5 leads added to Pipeliner."

"What are my sales activities for this week?"

Troubleshooting Pipeliner MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Pipeliner + OpenAI Agents SDK FAQ

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

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.