How to Use the Ecomail MCP in OpenAI Agents SDK
Build production-ready email marketing agents with the OpenAI Agents SDK and Ecomail.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ecomail MCP to OpenAI Agents SDK
Create your Vinkius account to connect Ecomail 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.
Connect OpenAI Agents SDK to Ecomail
Your production agent needs to read campaign data without breaking its guardrails. By handing it the `ecomail-mcp` server, you give your OpenAI agent direct read access to your email marketing backend. It auto-discovers tools like `list_email_marketing_campaigns` and maps them into its execution loop. Tracing works out of the box. When your agent calls `get_campaign_performance_details` to pull open rates, that request shows up in your OpenAI dashboard. You see exactly what data the agent read before it decided to generate a new follow-up sequence.
Audit subscriber lists autonomously
Stop exporting CSVs to figure out who opened your last broadcast. Your agent can run `list_address_list_subscribers` to pull the raw contact data directly into its context window. If it spots an anomaly, it can drill down to investigate the specific user. It does this by chaining tools. The agent might start with `search_marketing_subscribers` to find a specific record, then immediately fire `get_subscriber_profile` to check their entire click history. You build the handoff logic; the MCP Server handles the API plumbing.
Monitor campaign volume at scale
Rate limits and account caps usually break autonomous agents. We expose `get_ecomail_account_metadata` so your system knows its boundaries before it starts pulling heavy reports. This prevents unexpected crashes during large data extraction runs. For daily reporting routines, your agent can hit `quick_marketing_volume_audit` to grab a high-level summary. Set `cacheToolsList=True` in your setup, and the agent skips the discovery phase on subsequent runs, dropping latency when polling for new campaign metrics.
Set up Ecomail 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 Ecomail tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Ecomail tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Ecomail 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="Ecomail Agent",
instructions="You have access to Ecomail 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 Ecomail. 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 Ecomail MCP in OpenAI Agents SDK
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