How to Use the Persana AI MCP in OpenAI Agents SDK

Q: How do I connect Persana AI to OpenAI Agents SDK?

You initialize the server via MCPServerStreamableHttp and pass it into your agent constructor. The SDK handles tool discovery automatically so your agent can trigger functions immediately.

Q: Can Persana AI help with lead scoring in OpenAI Agents SDK?

Absolutely. Your agent uses getsignals to score leads based on real-time data. It then decides whether to proceed with outreach based on your custom threshold.

Build production-grade outbound pipelines using Persana AI and OpenAI Agents SDK to automate prospect research and lead scoring.

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Connect Persana AI MCP to OpenAI Agents SDK

Create your Vinkius account to connect Persana AI 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 Persana AI with OpenAI Agents SDK

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Automate lead list management with OpenAI Agents SDK

Stop manually maintaining spreadsheets. Use `create_lead_list` and `list_lead_lists` to let your agent manage your target accounts directly from your codebase. Your agent handles the list lifecycle, ensuring your outreach campaigns stay organized. It tracks which lists exist and clears out stale data using `delete_lead_list` before starting new sequences.

Real-time prospect enrichment for high-intent outreach

Feed raw prospect data into `enrich_person` and `enrich_company` to generate deep context instantly. Your agent uses this data to write personalized messages that actually convert. It doesn't just scrape; it validates. By running `verify_email` and `lookup_email` before any send command, you ensure your domain reputation stays clean and your messages reach the inbox.

Trigger-based prospecting with intent signals

Detect the perfect moment to reach out using `get_signals` and `find_job_changes`. Your agent identifies when a lead changes roles or shows buying intent, allowing you to strike while the iron is hot. Use `search_people` to fill your pipeline based on specific criteria. It turns your agent into a 24/7 research assistant that prioritizes high-value targets automatically.

Setup guide

Set up Persana AI 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 Persana AI tools at runtime.
3

Create your Agent

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

Run the agent

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

You initialize the server via `MCPServerStreamableHttp` and pass it into your agent constructor. The SDK handles tool discovery automatically so your agent can trigger functions immediately.

Yes. Since your agent uses the OpenAI Agents SDK, you can define validation logic around tool outputs. You'll see every action in your traces before it hits the API.

Absolutely. Your agent uses `get_signals` to score leads based on real-time data. It then decides whether to proceed with outreach based on your custom threshold.

The server returns clear status codes for every tool call. You can catch these in your agent loop to retry or skip specific lead records.

We keep your lead lists and email data ephemeral. Only your authorized agent instance can access the tools to run lookups or verify contacts.

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