How to Use the HeyReach MCP in OpenAI Agents SDK

Q: Can my OpenAI agent pause a HeyReach campaign automatically?

Yes. The agent reads performance metrics and fires the pausecampaign tool when thresholds drop. Your OpenAI dashboard logs the exact reason the agent executed the pause.

Q: How do I list active LinkedIn accounts with this setup?

Call the listlinkedinaccounts tool. The OpenAI agent returns the connected sender profiles so you know exactly which account is pushing your outreach.

Connect the HeyReach MCP Server to the OpenAI Agents SDK to run automated LinkedIn outreach with strict production guardrails.

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Connect HeyReach MCP to OpenAI Agents SDK

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

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Sequence HeyReach MCP Server outreach operations

The `add_leads_to_campaign` tool feeds your target lists directly into active LinkedIn campaigns. Your OpenAI agent pulls the JSON payload, formats the lead data, and pushes it out. The built-in guardrails validate the exact format before execution. You pair this with `list_campaigns` to verify the ID first. Look, if the agent detects a missing ID, the OpenAI routing system hands the task back to a validation agent instead of firing a broken API request.

Monitor LinkedIn accounts and pause bad campaigns

Calling `list_linkedin_accounts` shows your OpenAI agent exactly which sender profiles are currently active in the workspace. The agent checks the connection status and maps the sender to the correct outreach batch. When response rates drop, the agent triggers `pause_campaign` to stop the bleeding instantly. You track this entire decision tree through the OpenAI dashboard, giving you full visibility into why the agent halted the LinkedIn sequence.

Read inboxes and send targeted messages

The `list_conversations` tool pulls recent LinkedIn inbox threads directly into your OpenAI agent's context window. Your agent reads the prospect's reply, determines the intent, and drafts a relevant response. Once approved by your safety constraints, the agent executes `send_linkedin_message` to push the reply back to the conversationId. Bottom line, you handle follow-ups at scale without ever logging into the native LinkedIn interface.

Setup guide

Set up HeyReach 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 HeyReach tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the openai-agents package via pip. Create an MCPServerStreamableHttp instance with your endpoint URL and pass it into the mcp_servers array during agent initialization. Set cacheToolsList=True so your agent discovers the tools faster.

Yes. The agent reads performance metrics and fires the `pause_campaign` tool when thresholds drop. Your OpenAI dashboard logs the exact reason the agent executed the pause.

It handles the full messaging loop. The agent reads threads via `list_conversations` and replies using `send_linkedin_message`. You define the guardrails to prevent the agent from sending off-brand replies.

Call the `list_linkedin_accounts` tool. The OpenAI agent returns the connected sender profiles so you know exactly which account is pushing your outreach.

The server processes direct profile URLs, names, and inbox message text. Vinkius runs this connection through a zero-trust V8 Isolate Sandbox. The data exists only during the execution window and vanishes the moment the API call resolves.

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