How to Use the Hashnode MCP in AutoGen

Q: How do AutoGen agents coordinate when using Hashnode to publish?

You register the createpost tool with your assistant agent. The agent drafts the content, passes it to a critic agent for review, and only executes the tool once the critic gives a green light.

Q: Can I set up an AutoGen debate to review a Hashnode post before updating it?

Yes, you can use getpost to fetch the live article. Your agents then debate proposed changes, and the winner's text is pushed to the blog using updatepost.

Q: How do I fetch all posts for a specific publication in AutoGen?

Use the getpublicationposts tool to retrieve the list of articles. The agent can then iterate through the posts to check for outdated content or formatting issues.

Let AutoGen agents debate, review, and collaborate to publish polished technical articles directly to Hashnode.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Hashnode MCP to AutoGen

Create your Vinkius account to connect Hashnode to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Hashnode with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-agent editorial workflows via the Hashnode MCP Server

The `create_post` tool allows your AutoGen writer agent to publish a draft once the reviewer agent approves it. This sets up an automated editorial pipeline where agents debate the quality of a technical post before it goes live. One agent drafts the content, another reviews the code blocks, and a third calls the tool to publish. This consensus-driven approach prevents broken syntax and formatting errors from reaching your readers.

Collaborative article updates and revision tracking

The `update_post` tool enables your agents to modify live articles after debating technical corrections via this MCP Server. If an agent flags an outdated package version, it proposes an edit, gets consensus from the team, and updates the post. This ensures your blog remains accurate without manual intervention. The agents handle the negotiation, and this tool executes the final API call.

Profile verification and author assignment

The `get_user` tool retrieves user profiles to verify author credentials before any content is queued. Your AutoGen coordinator agent checks this data to ensure the correct writer profile is linked to the publication. This step prevents unauthorized publishing attempts. The agent validates the user metadata against your team registry before triggering any write operations.

Setup guide

Set up Hashnode MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Hashnode tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Hashnode_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Hashnode data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Hashnode_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Hashnode data")
    print(result.messages[-1].content)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Hashnode now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Hashnode MCP in AutoGen

You register the `create_post` tool with your assistant agent. The agent drafts the content, passes it to a critic agent for review, and only executes the tool once the critic gives a green light.

Yes, you can use `get_post` to fetch the live article. Your agents then debate proposed changes, and the winner's text is pushed to the blog using `update_post`.

The MCP server handles authentication via a single endpoint token managed by Vinkius. Your AutoGen agents do not need to manage raw GraphQL headers or API keys directly.

Use the `get_publication_posts` tool to retrieve the list of articles. The agent can then iterate through the posts to check for outdated content or formatting issues.

Your credentials and draft data are never stored on disk. They are processed in memory within an isolated V8 sandbox that destroys all session data immediately after execution.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript