How to Use the IgnitePOST MCP in OpenAI Agents SDK

Q: How do I check my IgnitePOST auth status in OpenAI Agents SDK?

Use the verifyauth tool immediately after initialization. It confirms your API token has the necessary permissions to execute requests.

Q: Can OpenAI Agents SDK handle IgnitePOST stationery lists?

Yes, just call liststationeries to retrieve your options. Your agent then maps these choices to the specific order request.

Q: Does IgnitePOST work with OpenAI Agents SDK for contact management?

Absolutely. Use listcontacts to pull your target list into the agent context. You can then iterate through these records to trigger your campaigns.

Send physical mail from your OpenAI Agents SDK pipelines. Automate handwritten notes without leaving your Python code.

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Connect IgnitePOST MCP to OpenAI Agents SDK

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

Ask AI about this MCP

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Perplexity

Programmatic campaign management

Use `list_campaigns` to pull your active outreach efforts directly into your agent logic. Your agent can now decide when to trigger a note based on real-time CRM events. Stop guessing if a campaign is active. By checking `list_campaigns` before firing a request, your agent ensures every note maps to a current strategy.

Validate handwriting styles via OpenAI Agents SDK

Call `list_fonts` to see the available handwriting styles before you commit to an order. Your agent can select the font that best matches the tone of your message. This MCP Server provides the exact font list to your agent, ensuring the output matches your brand. No more generic machine-printed letters.

Track physical order status

Monitor your fulfillment pipeline using `list_orders` or `get_order`. Your agent handles the follow-up logic once a physical note hits the mail. Integrating `list_orders` into your agent workflow closes the loop on physical correspondence. It's the most reliable way to track your mail without manual spreadsheets.

Setup guide

Set up IgnitePOST 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 IgnitePOST tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate IgnitePOST 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="IgnitePOST Agent",
            instructions="You have access to IgnitePOST tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IgnitePOST. 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 IgnitePOST MCP in OpenAI Agents SDK

Use the `verify_auth` tool immediately after initialization. It confirms your API token has the necessary permissions to execute requests.

Yes, just call `list_stationeries` to retrieve your options. Your agent then maps these choices to the specific order request.

Absolutely. Use `list_contacts` to pull your target list into the agent context. You can then iterate through these records to trigger your campaigns.

Check the agent trace logs. Each tool call includes a response from the API, allowing you to catch issues before the agent proceeds.

Your contact names and addresses are sent over encrypted channels to the IgnitePOST API. This MCP Server does not store your data, acting strictly as a bridge for your requests.

Use it with your favorite AI tools

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