How to Use the Mailshake MCP in OpenAI Agents SDK
Build production sales agents that manage Mailshake campaigns right from your OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mailshake MCP to OpenAI Agents SDK
Create your Vinkius account to connect Mailshake 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.
Run Campaigns with Guardrails
Connect your agent to Mailshake to run your entire outreach operation. It can `list_campaigns` to see what's active, then `pause_campaign` or `resume_campaign` based on your instructions. The agent can even pull campaign performance with `get_campaign_details`. The OpenAI Agents SDK automatically discovers these tools. Because it has built-in guardrails, you can set rules to prevent the agent from, say, pausing a high-performing campaign without your explicit approval. It's control, not just automation.
Manage Leads Safely with this MCP Server
Your agent can add new contacts to a sequence using `add_prospects` and check on their status. When a lead replies, you can have the agent automatically `update_lead_status` to 'Replied' or 'Interested'. You can even tell it to `pause_prospect` if a contact asks to be put on hold. The SDK's tracing dashboard gives you a full log of every action. You'll see exactly which agent updated which lead and why, which is critical when you have multiple agents working together on your pipeline.
Get Team Metrics without Leaving Your App
Build internal dashboards or summary reports with real-time Mailshake data. Your agent can call `get_team_details` to see who's on the account or `list_engagement_activity` to check open and click rates. It's a direct line into your team's performance. This isn't just about pulling data. You can create specialized agents—one for reporting, another for campaign ops—and have them hand off tasks. The reporting agent gets the data, the ops agent acts on it. That's how you build a real system.
Set up Mailshake MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Mailshake tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Mailshake tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Mailshake tools and returns structured results. Copy the full example on the right to get started.
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="Mailshake Agent",
instructions="You have access to Mailshake tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mailshake. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Mailshake MCP in OpenAI Agents SDK
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