How to Use the Hashnode MCP in OpenAI Agents SDK
Ship production-ready tech blogs with the OpenAI Agents SDK by giving your agents direct write access to your Hashnode publications.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Hashnode MCP to OpenAI Agents SDK
Create your Vinkius account to connect Hashnode 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.
Built-in publishing guardrails
The Hashnode MCP server turns your OpenAI agents into technical editors. When your agent drafts a tutorial, it calls `create_post` to push it directly to your publication. You don't have to copy and paste markdown out of a chat window ever again. Because you are building with the OpenAI Agents SDK, you can enforce strict safety constraints before that post goes live. Set up a multi-agent handoff where a reviewer agent verifies the code blocks, then uses `update_post` to fix formatting errors before final approval.
Traceable content updates
Managing a technical blog means constantly fixing outdated code snippets. Your agent can pull down existing articles using `get_post` and compare them against your latest repository commits. Every action the agent takes is fully visible in your OpenAI dashboard. If an agent goes rogue and tries to rewrite your entire back catalog, the SDK tracing lets you see exactly which prompt triggered the `update_post` call so you can fix the system prompt.
Audience and author context
Good technical writing requires knowing the audience. Before your agent drafts a new series, it can run `get_publication_posts` to analyze the tone and structure of your most successful articles. You can also pull specific author details via `get_user`. This gives your agent the context it needs to write in your specific voice, matching your bio and previous work history without requiring massive system prompts.
Set up Hashnode 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 Hashnode tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Hashnode tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Hashnode 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="Hashnode Agent",
instructions="You have access to Hashnode 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 Hashnode. 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 Hashnode MCP in OpenAI Agents SDK
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