How to Use the Medium MCP in OpenAI Agents SDK

Q: Does the server handle draft creation for Medium on OpenAI Agents SDK?

It does. You use createdraft to generate content that needs human review before it ever goes live.

Push content from your OpenAI Agents SDK pipelines straight to your Medium feed without leaving your Python environment.

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Connect Medium MCP to OpenAI Agents SDK

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

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Automate your Medium publishing workflow

Your agent handles draft creation using `create_draft` while you focus on the logic. It keeps your content pipeline moving by pushing updates directly to your publication. Stop copying and pasting text between editors. Use `create_publication_post` to trigger releases the moment your agent finishes its latest analysis.

Manage your Medium profile via OpenAI Agents SDK

Get your user details instantly with `get_my_user_id` to verify your identity before any automated actions occur. This keeps your agent operations locked to your specific account context. Use `get_my_profile` to pull your current data into your agent's memory. It ensures your agent knows exactly who it is acting as before it touches any live records.

Control publication access for your agent

The `list_publications` tool lets your agent see exactly where it has permission to post. It identifies available targets so you don't waste time guessing IDs. Run `list_contributors` to see who else is on the team. Your agent uses this to verify permissions before it attempts to commit any new drafts to your shared space.

Setup guide

Set up Medium 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 Medium tools at runtime.
3

Create your Agent

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

Run the agent

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

You initialize the server by passing the endpoint to the agent constructor. This connects the Medium MCP server directly to your agent's tool registry.

You can pull your own profile data but the tools are focused on publishing. Use `get_my_profile` to check your account status while you build your agent.

Yes. The server operates in an ephemeral sandbox and only touches the specific API endpoints you invoke. Your credentials stay local to your environment.

It does. You use `create_draft` to generate content that needs human review before it ever goes live.

It only accesses your Medium posts, drafts, and profile information. It specifically touches your publication membership list and post metadata through authorized API calls.

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